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Journal articles on the topic 'Radio communication signals'
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1
Ostapchuk, Viktor, Oleg Sova, Andrii Shyshatskyi, and Olexander Harashchuk. "DEVELOPMENT OF A MATHEMATICAL MODEL OF THE FUNCTIONING OF MULTI-ANTENNA RADIO COMMUNICATIONS WITH SPECTRALLY EFFECTIVE SIGNALS UNDER THE INFLUENCE OF DESTABILIZING FACTORS." ScienceRise 4 (August 31, 2020): 40–45. http://dx.doi.org/10.21303/2313-8416.2020.001393.
Full textAbstract:
The necessity of developing a mathematical model for the functioning of multi-antenna radio communication facilities with spectrally effective signals under the influence of destabilizing factors has been substantiated. The results of the study of the influence of destabilizing factors on the multi-antenna systems with spectrally effective signals are presented. New analytical dependences have been obtained, which make it possible to calculate the effect of destabilizing factors on the efficiency of multi-antenna system with spectrally effective signals. Object of research: development of a mathematical model of the functioning of multi-antenna radio communication facilities with spectrally effective signals under the influence of destabilizing factors. Investigated problem: taking into account additional destabilizing factors on the multi-antenna of a radio communication facility with spectrally effective signals. Main scientific results: when transmitting information in multi-antenna radio communication systems with spectrally effective signals, the following are taken into account: Type of parameters of deliberate interference, type and parameters of deliberate fading, type and parameters of security code structures, phase jitter, slope of the constellation matrix, Intersymbol interference, high mobility of objects (transmitter and receiver), the number of receiving and transmitting antennas, the number of subcarriers in the antenna channel. It has been established that taking into account all the parameters in the system makes it possible to assess the state of the channel, to develop measures to reduce the negative influence of destabilizing factors on the noise immunity of multi-antenna systems. A review of the practical use of research results: radio communication facilities with programmable architecture. Innovative technologies product: technology for substantiating the architecture of transceivers, software for programmable radio equipment, which can increase the noise immunity of radio communications, taking into account additional destabilizing factors and software for radio monitoring equipment. Overview of an innovative technological product: programmable radios, software for radio communications.
2
Andreiev, O., V. Tsyporenko, V. Tsyporenko, Y. Andreieva, O. Dubyna, and I. Puleko. "ELECTROMAGNETIC COMPATIBILITY OF BROADBAND AND NARROWBAND SHORTWAVE RADIO COMMUNICATIONS DEVICES." Sciences of Europe, no. 158 (February 10, 2025): 78–86. https://doi.org/10.5281/zenodo.14846872.
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Most short-wave radio communication means use frequency modulation of the radio signal in a limited frequency band to transmit voice signals. Such signals have a sufficiently high spectral density, which makes it possible to detect and suppress the radio signal by means of electronic warfare. One of the methods for increasing the noise immunity of radio communication means is to expand the radio signal spectrum at the operating frequency of the transmitter. In modern telecommunication systems, various technologies for expanding the signal spectrum have been used when transmitting data over a microwave radio channel. In this case, the required speed of digital data transmission with the required quality is ensured by using a sufficiently wide radio channel bandwidth. Under the conditions of existing limitations on transmitter power, the required radio line range is ensured by adaptively changing the transmission duration, which allows to significantly increase the value of the radio signal base. However, the duration of real-time transmission of a speech signal is limited by the value of the voice signal sampling period. Therefore, the increase in the radio signal base in the short-wave range is possible through the use of broadband signals with a spectrum width that exceeds the width of the radio channel of existing narrow-band communication devices. When introducing broadband technologies in the short-wave range, it is important to check electromagnetic compatibility with existing narrow-band short-wave range devices. The paper proposes a method for determining the range of a broadband radio communication device and mathematical modeling of its compatibility with narrow-band devices at their spatial and temporal separation.
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MD., AHSAN HABIB, MASUM BILLAH MD., and MAMUN UR RASHID MD. "VHF RF SIGNAL GENERATION AND TRANSMISSION USING FREQUENCY MODULATION." Asian Journal of Current Research 3, no. 1 (2018): 1–8. https://doi.org/10.5281/zenodo.1407879.
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In electronic communications, the radio frequency spectrum (RF Signal) is widely used in all the modern communication systems. The generation and transmission of RF signal can be accomplished by various modulation techniques. Frequency modulation is such a technique. The communication through cordless & Cell phones, radio and TV broadcast stations, satellite communication systems, Bluetooth module and Wi-Fi is now becoming an essential part of human life. All these systems use RF spectrums for communication. The sound coming out from the modern communicating devices is Frequency Modulated (FM) signals. For noise free communications, frequency modulation is used by all the modern speech communicating devices. The device that is discussed in the paper is a low power, narrowband frequency modulated transmitter which can transmit sound or speech signals around 100 meters with only a 10 cm copper wire as an antenna. The sound quality is very clear and noise free. As, the VHF RF FM transmitter is designed with crystal oscillator, so frequency is fixed at 88.7 MHz. No parasitic effect results in the circuit for the contribution of the crystal.
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Peng, Liang, Shengliang Fang, Youchen Fan, Mengtao Wang, and Zhao Ma. "A Method of Noise Reduction for Radio Communication Signal Based on RaGAN." Sensors 23, no. 1 (2023): 475. http://dx.doi.org/10.3390/s23010475.
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Radio signals are polluted by noise in the process of channel transmission, which will lead to signal distortion. Noise reduction of radio signals is an effective means to eliminate the impact of noise. Using deep learning (DL) to denoise signals can reduce the dependence on artificial domain knowledge, while traditional signal-processing-based denoising methods often require knowledge of the artificial domain. Aiming at the problem of noise reduction of radio communication signals, a radio communication signal denoising method based on the relativistic average generative adversarial networks (RaGAN) is proposed in this paper. This method combines the bidirectional long short-term memory (Bi-LSTM) model, which is good at processing time-series data with RaGAN, and uses the weighted loss function to construct a noise reduction model suitable for radio communication signals, which realizes the end-to-end denoising of radio signals. The experimental results show that, compared with the existing methods, the proposed algorithm has significantly improved the noise reduction effect. In the case of a low signal-to-noise ratio (SNR), the signal modulation recognition accuracy is improved by about 10% after noise reduction.
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Viktor, Ostapchuk, Sova Oleg, Shyshatskyi Andrii, and Harashchuk Olexander. "DEVELOPMENT OF A MATHEMATICAL MODEL OF THE FUNCTIONING OF MULTI-ANTENNA RADIO COMMUNICATIONS WITH SPECTRALLY EFFECTIVE SIGNALS UNDER THE INFLUENCE OF DESTABILIZING FACTORS." ScienceRise, no. 4 (August 31, 2020): 40–45. https://doi.org/10.21303/2313-8416.2020.001393.
Full textAbstract:
The necessity of developing a mathematical model for the functioning of multi-antenna radio communication facilities with spectrally effective signals under the influence of destabilizing factors has been substantiated. The results of the study of the influence of destabilizing factors on the multi-antenna systems with spectrally effective signals are presented. New analytical dependences have been obtained, which make it possible to calculate the effect of destabilizing factors on the efficiency of multi-antenna system with spectrally effective signals. <strong>Object of research:</strong> development of a mathematical model of the functioning of multi-antenna radio communication facilities with spectrally effective signals under the influence of destabilizing factors. <strong>Investigated problem:</strong> taking into account additional destabilizing factors on the multi-antenna of a radio communication facility with spectrally effective signals. <strong>Main scientific results:</strong> when transmitting information in multi-antenna radio communication systems with spectrally effective signals, the following are taken into account: Type of parameters of deliberate interference, type and parameters of deliberate fading, type and parameters of security code structures, phase jitter, slope of the constellation matrix, Intersymbol interference, high mobility of objects (transmitter and receiver), the number of receiving and transmitting antennas, the number of subcarriers in the antenna channel. It has been established that taking into account all the parameters in the system makes it possible to assess the state of the channel, to develop measures to reduce the negative influence of destabilizing factors on the noise immunity of multi-antenna systems. <strong>A review of the practical use of research results:</strong> radio communication facilities with programmable architecture. <strong>Innovative technologies product:</strong> technology for substantiating the architecture of transceivers, software for programmable radio equipment, which can increase the noise immunity of radio communications, taking into account additional destabilizing factors and software for radio monitoring equipment. <strong>Overview of an innovative technological product:</strong> programmable radios, software for radio communications.
6
Khvostivska, Liliia, Mykola Khvostivskyi, Vasyl Dunets, and Iryna Dediv. "Mathematical, algorithmic and software support of synphase detection of radio signals in electronic communication networks with noises." Scientific journal of the Ternopil national technical university 111, no. 3 (2023): 48–57. http://dx.doi.org/10.33108/visnyk_tntu2023.03.048.
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Mathematical (radio signal model as a periodically correlated stochastic process and synphase method of its processing) and algorithmic support for synphase detection of stochastic-periodic radio signals in electronic communication networks with noise by calculating new detection indicators in the form of correlation components, which ensure effective making a decision regarding the presence or the absence of a useful radio signal in obstacles of different power. For a more detailed assessment of the calculated indicators of radio signal detection in the form of correlation components, were used averaged estimates. Software for synphase detection of radio signals in electronic communication networks with a graphical user interface is implemented in the Matlab environment. The process of synphase detection of radio signals in electronic communication networks with noise was investigated and the effectiveness of the application of new detection indicators was ascertained.
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Chen, Liang, and Jiayu Liu. "Identification of Shipborne VHF Radio Based on Deep Learning with Feature Extraction." Journal of Marine Science and Engineering 12, no. 5 (2024): 810. http://dx.doi.org/10.3390/jmse12050810.
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In the feature identification of maritime VHF radio communication signals, shipborne VHF communication technology follows the same international technical standards formulated by IMO, uses analog communication technology and uses the same communication channel in the same area, and cannot effectively achieve signal feature identification by adding feature elements in the process of signal modulation. How to effectively identify the ship using VHF radio has always been a technical difficulty in the field of ship perception. In this paper, based on the convolutional neural network, combined with the feasibility of CAM feature extraction and BiLSTM feature extraction in non-cooperative signal recognition, a deep learning recognition model of shipborne VHF radio communication signals is established, and the deep learning approach is employed to discern the features of VHF signals, thereby accomplishing the identification and classification of transmitting VHF radio stations. Several experiments are designed according to the characteristics of ship communication scenes at sea. The experimental data show that the method proposed in this paper can provide a new feasible path for ship target perception in terms of radio signal characteristics and identification.
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Gustiyanda, Achmad Fikri Gustiyanda, and Aan Restu Mukti. "Analisis Propagasi Jaringan Komunikasi Radio VHF di PT. Julian Adiputra Utama." Jurnal CoSciTech (Computer Science and Information Technology) 3, no. 2 (2022): 175–81. http://dx.doi.org/10.37859/coscitech.v3i2.3865.
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PT. Julian Adiputra Utama is a private company engaged in telecommunications and information. PT. Julian Adiputra Utama is a private company engaged in telecommunications and information. Based on the author's observations about PT. Julian Adiputra Utama has a radio tower to support activities and control office activities and optimize company performance. Weather conditions when using VHF radio frequency signals are very influential and the electricity users in the tower must be adequate. The problems faced when communicating are the loss of a signal on one of the communication tools with technology such as the VHF radio communication network, the problems faced. The frequency signal will be sent to a device, namely a repeater aimed at retransmitting the frequency signal that was emitted at the beginning of 2 km to 30 km. Based on the author's observations of PT. Julian Adiputra Utama has a radio tower to support office activities and control activities and optimize company performance. Weather conditions when using RF VHF signals are very influential, and power users in towers must be adequate. The problem faced when communicating is the loss of signal in one of the means of communication that uses technology such as VHF radio communication networks.
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Ilnytskyi, Anatolii, Oleg Tsukanov, and Olha Marchuk. "Software and hardware complexes for multistage monitoring of mobile radio signals and features of their operating modes." Smart technologies: Industrial and Civil Engineering 3, no. 16 (2025): 100–108. https://doi.org/10.32347/st.2025.3.1301.
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Today, technical means of radio interception, monitoring and direction finding in mobile radio communication networks are implemented in the form of software and hardware complexes, the most important performance indicators of which are considered to be speed, detection accuracy and probability of recognition of mobile radio communication means with their information content. However, the effectiveness of these complexes still remains problematic and requires further development of methods and techniques for searching and detecting signals of mobile radio communications in both frequency and time environments of telecommunication channels and their subsequent information processing. To solve this problematic issue, the authors consider a typical variant of the structural scheme of the software and hardware complex for searching and detecting signals and the peculiarities of applying the procedures for multi-stage search and detection of signals in radio monitoring of radio sources of mobile communication systems. It is shown that software and hardware systems can have several modes of operation depending on the type of control channel. The article also presents the results of calculations of the probability of successful completion of the search for a signal of a distributed control channel of mobile radio communications for a given time with three stages of detection in the frequency-time domain with one radio receiving device at a different number of empty channels (p = 1, 5, 9) in one search cycle. It is shown thatadditional estimation of the input signal level by the radio receiving device at the first stage of detection increases the search efficiency with an increase in the number of empty channels.
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Dmitriev, Alexander, and Anton Ryzhov. "Trends in the Development of Ultra-Wideband Direct Chaotic Communications." Infocommunications and Radio Technologies 6, no. 1 (2023): 1–14. http://dx.doi.org/10.29039/2587-9936.2023.06.1.01.
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The report discusses the development trends in the development of ultra-wideband wire-less communications based on chaotic signals. For the first time, direct chaotic communications were proposed in 2000 as a way to use noise-like (chaotic) signals for communication systems. The idea was to generate information-carrying signals directly in the region of radio or microwave frequencies where transmission takes place, and to modulate and demodulate these signals there without resorting to frequency transfer operations. In the basic version of the scheme, chaotic radio pulses were used as an information carrier, which made it possible to use “on-off” modulation and modulation of the positions of chaotic radio pulses. An envelope detector matched with the transmitted signal was used as a receiver. Another variant of the direct chaotic system is the recently proposed relative transmission scheme based on chaotic radio pulses. The report examines the characteristics and specifics of both schemes when used in ultra-wideband wire-less communication in the centimeter and decimeter wavelength ranges.
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Saffar, Saman Ahmed Sulaiman. "A REVIEW ON RADIO OVER FIBER SYSTEMS FOR LONG DISTANCE COMMUNICATION." Academic Journal of Nawroz University 11, no. 3 (2022): 133–47. http://dx.doi.org/10.25007/ajnu.v11n3a1363.
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Recently wireless communication became very vital such that without it, it will be impossible to imagine the human life because it is extensively utilized in several civilian and military applications. These applications include transmission of various image types, high-quality video streaming, online meetings as well as novel bandwidth-intensive user applications like YouTube, Facebook, Netflix, etc. Because the radio signals have a limited bandwidth and are susceptible to atmospheric noise and distortion, they cannot provide bandwidth intensive applications and long distance communications. To provide the recipient of the radio signals to long distances, an advanced optical fiber technology known as Radio over Fiber (RoF) can be utilized faithfully. RoF is technology that modulates the light signal by radio signal and transmit it across a fiber optic link to extend the transmission and wireless access. Currently, this technology has become matured technology in terms of coverage, security and reliability. The RoF system has been implemented for the enhanced performance radio system having larger bandwidth for mobile communications. In addition, these systems have various advantages over traditional systems including higher bandwidth, easy Installation and Maintenance, lower attenuation, dynamic resource allocation, immunity against the RF interference and can transfer high frequency signals that support 5G and beyond 5G network technologies. This paper provides a comprehensive review on the currently existing RoF systems for long distance communication.
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Kolyadenko, Yu Yu, and N. А. Chursanov. "5 G communication network signal propagation models." Radiotekhnika, no. 205 (July 2, 2021): 161–68. http://dx.doi.org/10.30837/rt.2021.2.205.17.
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The next generation 5G / IMT-2020 technology, like any new technology, brings its own specific features to all aspects related to the practice of its application. One of these particularly important aspects is electromagnetic compatibility. At the stage of preparation for the introduction of 5G radio networks, called NewRadio, it is necessary to take early measures to assess effectively the electromagnetic compatibility conditions for these networks based on a thorough analysis of the features of 5G technology. Correct and accurate assessments of these conditions means successful provision of the electromagnetic compatibility of radio equipment of new networks.
 The World Radio Communication Conference WRC-15 identified new radio frequency bands for 5G, including centimeter and millimeter wave bands. In general, this RF spectrum is located in three regions: below 1 GHz, 1 GHz to 6 GHz, and above 6 GHz (up to 100 GHz). From the EMC standpoint, the following can be distinguished as the main features of this spectrum: different nature of losses during signal propagation, in particular, a significant influence of additional factors (gases – oxygen, water vapor, etc.) on the level of losses previously unknown in cellular communication.
 The mathematical model of signal propagation of 5 G communication networks has been developed which takes into account: the attenuation of signals in free space; attenuation of signals caused by the influence of walls and floor slabs, loss of signal energy, when space is filled with various objects; attenuation of signals caused by loss of energy of radio waves, when propagating through rains; signal attenuation due to loss of radio wave energy due to fog; signal attenuation, when propagating through tree leaves, slow and fast random fading.
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Pravalika Gorremuchu, Jagadishwari V, Kesavamoorthy R, Priyanka, and Mounica. "Crisis Communication with Cognitive Radio Networks." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 2 (2024): 741–46. http://dx.doi.org/10.32628/cseit24102105.
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The disaster may occur naturally or may be due to human activities. As stated, precaution is better than cure predetermination of disaster also helps in management of communication lines but recovery after disaster plays a vital role which involves fixing the communication lines to allow necessary actions to be taken in the affected area. This survey analyses several methods that involve cognitive radio networks which help in transmission of signals. Several methods can be used to connect the transmission signals whereas on combining two different procedures of signal transmission like the UAVs and EC-CRVs which works on different protocols but when combined can help in increasing the overall efficiency of devices. More Precise outcome can be obtained in such manner.
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Ilnytskyi, A., and L. Zakharchuk. "Mathematical model of single-channel search for signals of mobile radio communications with one degree of detection in the frequency-time domain." Communication, informatization and cybersecurity systems and technologies, no. 5 (June 1, 2024): 71–77. http://dx.doi.org/10.58254/viti.5.2024.06.71.
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In the context of a full-scale invasion and military operations for Ukraine's independence, the issues of radio monitoring of radio emission sources of telecommunication networks and systems are gaining special attention and require fundamentally new approaches to the level of informatization, technical implementation and increase of their efficiency. Today, the technical means of radio interception, monitoring and direction finding in the networks of mobile radio communication systems are realized in the form of software and hardware complexes, the most important performance indicators of which are considered to be speed, accuracy of detection and probability of recognition of mobile radio communication means with their information content. At the same time, these issues still remain problematic and require further development of methods and techniques for searching and detecting signals of mobile radio communications in both frequency and time telecommunication channels and their information processing. To solve this issue, the authors propose a mathematical model for searching for mobile radio signals in the frequency-time domain with one degree of detection. The description of the mathematical model for determining the spectral components of signals in the frequency and time domains is carried out using the basic provisions of the theory of directed probability graphs, geometric probabilities with its well-known problem of meeting in a given time interval, and the theoretical foundations of statistical information processing. The analysis of the proposed model shows that the probability of successful completion of the search for a signal with one degree of detection in the frequency-time domain for a given time depends on the value of the signal duration, the number of analyzed frequency channels, the time of signal analysis in each channel, and the probabilities of errors of the first and second kinds The article presents the results of calculations of the value of the probability of successful completion of the signal search as a function of the search time at different values of the analysis time. It is shown that the application of the mathematical model of single-channel search for signals of mobile radio communication means with one degree of detection in the frequency-time domain in practice will make it possible to determine the quality of the radio monitoring process and increase the efficiency of evaluating the spectral components of radio signals in terms of speed, detection accuracy and probability of recognition of mobile radio communication means with further determination of their information content.
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Samoylov, A. G., V. S. Samoylov, and S. A. X. Nasir. "Loss of radio waves energy on radio lines satellite-earth station." Journal of Physics: Conference Series 2094, no. 4 (2021): 042080. http://dx.doi.org/10.1088/1742-6596/2094/4/042080.
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Abstract The main contribution of this paper is to study the influence of various natural factors on the conditions for the radio signals propagation on the satellite - Earth links. It is shown that the ionosphere practically does not interfere with satellite radio communications at frequencies above 5 GHz. The mathematical model is proposed for the numerical determination of the attenuation of the radio signal depending on the optical visibility during dust storms along the communication path.
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Dvornikov, S. V., A. V. Pshenichnikov, S. S. Dvornikov, V. V. Borisov, and G. S. Potapov. "Ultra-wideband ultra-short pulse communication system." Radio industry (Russia) 31, no. 1 (2021): 16–27. http://dx.doi.org/10.21778/2413-9599-2021-31-1-16-27.
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Problem statement. The development and design of radio communication systems with enhanced structural and energy stealth properties are of the greatest interest in modern radio engineering. One method of implementing such radio systems is the use of ultra-wideband signals. Despite advances in radio engineering theory, the development and design of ultra-wideband radio systems are at the initial stage. The results obtained in this subject area are not systematized, limiting their practical application and indicating the relevance of the chosen research problem.The study's objective is to formalize an approach to the design and performance assessment of ultra-wideband radio systems based on statistical radio engineering methods. Bringing the obtained theoretical solutions to the level of practical implementation in a radio station layout.Results. The analysis of available theoretical and practical solutions in the subject area of ultra-wideband radio systems is carried out. The principles of development and evaluation taking into account the characteristics of radio equipment elements are justified. A model of an ultra-wideband radio pulse is presented. The requirements of guiding documents are summarized, based on which the requirements for radio equipment are clarified. The criteria for the formation and processing of ultra-wideband signals are determined. An approach to controlling the parameters of the applied signals is considered. The criterion of increasing the efficiency of radio systems is justified. An approach to calculating the size of the pulse packs defining the signal symbols is developed. Analytical calculations are presented following the developed approach.Practical implications. The authors developed a model of an ultra-wideband radio station based on LLC Scientific Production Enterprise "New Telecommunications Technologies". The obtained practical solutions can be used in the field of practical implementation of ultra-wideband radio communication systems
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Journal, IJSREM. "Generation of Signals Related to Different Cellular Generation Using GNU Radio." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem28354.
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Abstract—This study focuses on the generation of signals at frequencies associated with various cellular generations, accompanied by an analysis of their corresponding wavelengths. In this, GNU Radio Companion, an open-source software toolkit, is utilized as a primary tool for signal processing and analysis. The objective is to explore and comprehend the characteristics of signals pertaining to diverse cellular generations, including 1G, 2G, 3G, 4G, and 5G networks. The objective lies in creating signals representative of each cellular technology, enabling a detailed investigation into the respective wavelengths associated with these frequencies. The utilization of GNU Radio Companion facilitates efficient signal generation and robust wavelength analysis, providing valuable insights into the propagation characteristics and spectral properties of signals employed in different cellular communication standards. Through this exploration, the study aims to elucidate the relationship between frequency, wavelength, and cellular communication technologies, contributing to a deeper understanding of wireless communication systems and their evolving standards. Keywords—Cellular Generations, Signal Generation, Wavelength Analysis, GNU Radio Companion, Wireless Communication, Signal Propagation.
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Sliusarchuk, O. O. "Calculation of Probability of Radio Signals Detection Depending on the Technical Characteristics of Radio Monitoring Means." Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, no. 86 (September 30, 2021): 52–57. https://doi.org/10.20535/radap.2021.86.52-57.
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In modern world the allocation of radio frequency resources is tightly controlled by government agencies for the high-quality performance of various radio communication, radar and radio navigation systems, which operate in the interests of various services. Thanks to modern radio means it is possible to provide communication, regardless of the geographical location of correspondents.While setting up new radio communication systems, searching for new sources of radio emission and monitoring of existing radio emitting means, the question is often arisen while calculating the probability of detecting a certain radio signal by the existing equipment with some certain technical characteristics.The purpose of the proposed article is to calculate the probability of radio signals detection depending on the technical characteristics of the radio monitoring means during the search, subject to the radio signal frequency is within the search range and the energy parameters of the signal are sufficient enough to detect it.The existing approaches are analyzed while determining the probability of radio signals detection in radio networks (point-to-point radio nets) at a certain frequency and time characteristics of radio receiving devices. In addition, a scientific and methodological apparatus is proposed, which should be used when planning the search objectives for new sources of radio emission. As a result of research, probability dependence of radio signals detection based on the frequency-time characteristics of the radio receiving device was established.In addition, the graphs of probability dependence of radio signals detection based on time characteristics of the radio receiving device were presented, which are created in accordance with the proposed scientific and methodological apparatus and using ''Mathcad 14.0'' software, as well as determined ways to increase the probability of radio signal detection. In particular, to increase the probability of radio signals detection it is necessary to reduce the frequency search range and time characteristics of the technical processes of the radio receiving device. In addition, it is advisable to consider the possibility of increasing the search time of a signal and the bandwidth of a radio receiving device.The scientific and methodical apparatus described in the article can be used during research of priori results of the search for new sources of radio emission by a certain equipment composition with certain technical characteristics.
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Kremenetskaya, Yana, and Sergey Markov. "Comparative analysis of interference, noise and losses in the mobile communication systems in millimeter wave range." Computational Problems of Electrical Engineering 8, no. 1 (2018): 18–25. http://dx.doi.org/10.23939/jcpee2018.01.018.
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The article analyzes the approaches to the mathematical modeling of mobile systems in the millimeter wave range. The architecture of a mobile network using Radio over Fiber (RoF) technology is considered which is proposed for forming and transmitting the millimeter-wave signals via fiber-optic communication lines. The noise of the optical heterodyne used for the formation of radio signals is analyzed. The mathematical analysis of the components of the energy budget of the radio link in the millimeter wave range is carried out on the basis of a study of the fundamental physical aspects that affect the value of noise, losses and signal gains. The comparative analysis of the signal-to-interference ratio and the signal-to-noise ratio, the probability of transmitting information radio signals through the reflected paths is carried out. A quasi-optical model of the narrow-beam antenna radiation is proposed for calculating noise interference and signal loss in multipath propagation models taking into account multiple reflections and diffractions, as well as absorption in various media. The analysis of the energy budget components of the radio link in the millimeter wave range shows that it is necessary to take into account both interference and noise associated with the method of signal generation and emission, for example, in phased antenna arrays, as well as the effects of molecular absorption (repeated radiation) in the atmosphere and the effects of the reflection of signals in urban scenario.
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Pechnikov, Sergei S., and Sergey A. Sherstyukov. "ANALYSIS OF THE PARAMETRIC SENSITIVITY OF THE METHOD FOR OPTIMIZING THE STRUCTURE OF SPECTRALLY EFFECTIVE RADIO SIGNALS." T-Comm 15, no. 3 (2021): 50–58. http://dx.doi.org/10.36724/2072-8735-2021-15-3-50-58.
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Currently, increasing the speed of information transmission in wireless communication networks is a topical issue. The growing demand for spectral efficiency in radio communication systems gives rise to the introduction of signals with amplitude-phase modulation. Despite all its advantages, signals with vector modulation are characterized by a change in the envelope, which makes it impossible to use highly efficient nonlinear power amplifiers. Energy efficiency is clearly a critical factor in portable radio communications systems, where power supplies are often used in small packages, and the presence of energy losses due to heat dissipation is a significant drawback that requires additional cooling systems. In this connection, when developing modern radio communications, radio engineers are faced with the contradictory task of achieving maximum energy and spectral efficiency. One of the approaches to reduce nonlinear distortion of vector modulation is the use linearization schemes for nonlinear power amplifiers. This work is devoted to increasing the energy and spectral efficiency of signals with amplitude-phase modulation. The article discusses the restrictions imposed on the input signals for the method for optimizing of structure of spectrally effective radio signals with vector modulation, the formation of the output signal, the influence of phase shifters phase imbalance on p/2, the index of balance modulation, and the analysis of parametric sensitivity. The possibility of using quadrature modulators to form components with phase modulation and constant envelope is considered. This method was simulated and the effect of phase imbalance on the shape of the output signal constellation was revealed.
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Manko, Andrii. "METHOD OF ADAPTING THE RADIO COMMUNICATION SYSTEM OF THE MOBILE COMPONENT OF THE TACTICAL COMMAND AND CONTROL UNIT OF THE NATIONAL GUARD OF UKRAINE TO THE CONDITIONS OF INTENTIONAL INTERFERENCE." Scientific journal of the National Academy of National Guard "Honor and Law" 4, no. 91 (2024): 60–66. https://doi.org/10.33405/2078-7480/2024/4/91/324076.
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The article deals with the issues of interference and intelligence protection of radio communication means of the mobile component of the tactical command and control link in the conditions of active use of electronic warfare. The problems arising from the use of standard radio communication means that do not provide a sufficient level of protection against intentional interference and interception of signals by the enemy are analysed. The necessity of developing a scientific and methodological apparatus for adapting the radio networks of the National Guard of Ukraine to the conditions of active interference is substantiated. An analysis of modern radio communication equipment used in the military, including portable radios, satellite communication systems, tactical Wi-Fi solutions and software-based radio networks, is carried out. It is determined that the existing communication systems do not provide effective counteraction to enemy radio jammers, especially in direct contact. A new method of spatial interference rejection based on the optimal location and direction of antenna systems of ground-based transmitters and receivers of UHF/VHF and Wi-Fi radio signals is proposed. The proposed method takes into account the tactical situation, the territorial location of radio network nodes and allows to increase the interference immunity of radio channels by changing the characteristics of antenna systems. A mathematical model of interaction between the elements of the radio communication system and active radio masking means is substantiated, which allows determining the optimal parameters of antenna systems and radiation power. The threshold values of the suppression coefficient are determined, at which the required quality of signal reception is guaranteed under the conditions of targeted concentrated interference. The concept of a stable radio communication zone is expanded, in particular, the dependence of its area on the shape of the radiation pattern and the distance between the elements of the communication system is substantiated. For the first time, a comprehensive analysis of the combined effect of intentional interference and active radio jamming on the stability of radio channels is carried out, which allows a reasonable approach to planning radio communications in the conditions of electronic warfare. An algorithm for determining the area of stable exchange for the points of the operational map of combat operations is proposed, which allows to effectively plan the location of communication means and active radio masking means. The practical significance of the obtained results lies in the possibility of applying the developed method in the creation of adaptive radio communication systems that take into account the real tactical situation, which can significantly increase the efficiency of troop management in the conditions of information influence of the enemy.
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Rogozhnikov, Evgeniy V., Edgar M. Dmitriev, Danila A. Kondrashov, Yakov V. Kryukov, Artem V. Konovalchikov, and Semyon M. Mukhamadiev. "Application of the 5G NR Physical Layer in Space Communications, Performance Evaluation." Radioelectronics. Nanosystems. Information Technologies. 16, no. 1 (2024): 143–56. http://dx.doi.org/10.17725/j.rensit.2023.16.143.
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The propagation channel is significantly modified in the case of 5th Generation New Radio radio access technology (5G NR) in space communication systems. In particular, large delays occur with respect to the terrestrial propagation channel, and signal attenuation increases, resulting in a lower signal-to-noise ratio (SNR). The Doppler shift of the carrier frequency is also significantly increased due to the high velocity of the spacecraft (SC) relative to the user equipment (UE). The aim of the work is to investigate the decoding capability of the physical channels and signals of the 5G NR system in case of its application in satellite communication systems (SCS), as well as to calculate the performance of such a system to assess the applicability of 5G NR in SCS. The ability to correctly decode signals and channels depending on SNR is evaluated using mathematical modelling of 5G NR signal and channel shaping in conjunction with the Quasi Deterministic Radio Channel Generator (QuaDRiGa) model. The research within the paper draws conclusions on the applicability of 5G NR radio access technology in a space communications environment.
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ADJEMOV, SERGEY S., EVGENIY M. LOBOV, NIKOLAY A. KANDAUROV, ELIZAVETA O. LOBOVA, and VLADISLAV I. LIPATKIN. "ALGORITHMS OF ESTIMATING AND COMPENSATING THE DISPERSION DISTORTIONS OF WIDEBAND SIGNALS IN THE HF CHANNEL." H&ES Research 13, no. 5 (2021): 57–74. http://dx.doi.org/10.36724/2409-5419-2021-13-5-57-74.
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Introduction: radio communication in the decameter range is actively used for communication in remote and hard-to-reach regions of the world. Decameter communication is also a relevant type of radio communication for regions that have suffered serious damage due to natural disasters. The relevance of using decameter radio communication in the above cases is due to the fact that this technology can offer reliable and cheap solutions. The second area of application of decameter radio communications is communications in the Arctic and Antarctic. Practical significance: when receiving signals with a spread spectrum, it becomes necessary to take into account the effect of the frequency dispersion of the ionospheric channel, since it leads to significant distortions of the useful signal and a decrease in the quality of communication in general. An urgent task is to estimate the parameters of the frequency dispersion of the ionospheric channel and to develop algorithms and devices for compensating dispersion distortions of broadband signals. Discussion: this article presents algorithms for estimating and compensating the dispersion distortions of wideband signals in the HF channel. The subbanding estimation method and maximum likelihood estimation (MLE) of the slope of the dispersion characteristic (the slope of DC) are studied. In addition, this article examines the joint MLE of the slope of DC and other parameters of the wideband signal and offers three methods of dispersion distortion compensation. The first method of compensation is a matched filter compensation. The second one is compensation based on the filter bank. Finally, the third method uses a tracking compensator to solve the problem. The experimental results demonstrated in the article were carried out on a one jump track with a length of about 2900 km.
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Lukin A.F., Tomilin A. K., Gulkov A.N., and Krems K. A. "Radio communication channel characteristics estimation in the marine environment." Technical Physics 92, no. 9 (2022): 1232. http://dx.doi.org/10.21883/tp.2022.09.54688.43-22.
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The results of data processing obtained in the course of full-scale experiments on the transmission of a short-wave radio signal in the marine environment using special ball antennas are presented. The capacity of the radio communication channel in the modulation frequency band is estimated. Statistical estimates of signals and noises are obtained, which make it possible to calculate decision-making thresholds based on the theory of statistical radio engineering. It is concluded that it is possible to create a two-way voice radio communication channel between mobile underwater objects. Keywords: underwater radio communication, radio communication channel capacity, ball antennas, generalized electrodynamics.
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Ilnytskyi, Anatolii, Oleg Tsukanov, Oleksandr Symonenko, Yuriy Pepa, and Andrii Petrenko. "Mathematical model of single-channel signal search with two degrees of detection in radio frequency monitoring of mobile telecommunication systems." Smart technologies: Industrial and Civil Engineering 2, no. 15 (2024): 10–17. https://doi.org/10.32347/st.2024.2.1102.
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Today, technical means of radio interception, monitoring and direction finding in mobile radio communication networks are implemented in the form of software and hardware complexes, the most important performance indicators of which are considered to be speed, detection accuracy and probability of recognition of mobile radio communication means with their information content. At the same time, these issues still remain problematic and require further development of methods and techniques for searching and detecting signals of mobile radio communications in both frequency and time environments of telecommunication channels and their information processing.The authors propose a mathematical model for searching for mobile radio signals in the frequency-time domain with two degrees of detection. The description of the mathematical model for determining the spectral components of signals in the frequency and time domains is carried out using the basic provisions of the theory of directed probability graphs, geometric probabilities with its well-known problem of meeting in a given time interval and the theoretical foundations of statistical information processing.It is shown that the application of the mathematical model of single-channel search for signals of mobile radio communications with two degrees of detection in the frequency-time domain in practice will make it possible to determine the quality of the radio monitoring process and increase the efficiency of evaluating the spectral components of radio signals in terms of speed, detection accuracy and probability of recognition of mobile radio communications with further determination of their information content.
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Tsymbaliuk, Ivan, and Ivan Horbatyi. "Approach to processing radio signals with amplitude modulation of many components using one-dimensional convolutional neural network." Eastern-European Journal of Enterprise Technologies 6, no. 9 (126) (2023): 14–22. http://dx.doi.org/10.15587/1729-4061.2023.292854.
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The object of research is the methods of using one-dimensional convolutional neural networks in radio receiving systems in order to increase their interference resistance. The task of the research is to test the hypothesis about the likely higher efficiency of radio signal recognition under conditions of high noise (or weak signals) by neural network models of radio signal reception in comparison with trivial reception systems. With the use of one-dimensional convolutional neural networks, a higher efficiency of extracting useful information from a signal-noise mixture at sufficiently high noise levels and, accordingly, a higher accuracy of radio signal recognition accuracy has been achieved. This result was achieved due to the specific architecture of convolutional neural networks, the ability to automatically detect important patterns in the data and analyze radio signals more deeply and informatively. Hierarchical representation of data with the selection of more complex and abstract features of the signal as the convolutional neural models become more complicated is one of the main advantages of using the proposed methods and algorithms under complex conditions of radio signal transmission. The comparison with trivial methods of radio signal processing is performed on the basis of the symbol error probability parameter at different signal-to-noise ratios of the investigated signals and demonstrates a stable decrease in the symbol error probability at signal-to-noise ratios of less than 4 dB. The results could be used in real radio communication systems, especially under conditions where it is necessary to quickly and reliably recognize radio signals among noise, under conditions of interference or with weak signals. They could also be useful in military applications, Earth remote sensing systems, mobile communication networks, etc.
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Grishin, I., and A. Kalinkina. "Review of the Multicarrier Modulation Techniques used in Modern Wireless Communications." Telecom IT 8, no. 2 (2020): 55–66. http://dx.doi.org/10.31854/2307-1303-2020-8-2-55-66.
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This article provides an overview of the technologies for generating radio signals, such as orthogonal frequency division multiplexing and its modifications: universal filtered multicarrier and filter bank multi-carrier currently used in wireless communication networks. Subject of research: methods of multicar-rier modulation. Main results: Overview of modern methods of forming multicarrier signals in radio communication systems. A number of computational experiments have been performed to compare the characteristics of signal localization, peak-to-average ratios and spurious emissions. Practical implica-tions: the results can be used in choosing the type of modulation in the case of the development of digi-tal radio communication systems.
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NEDELCHEV, Miroslav, Radostin DIMOV, and Stanimir PARVANOV. "ALGORITHM FOR APPLICATION OF INFORMATION FOR MANAGEMENT OF USERS SPATIAL DISPOSITION IN THE PROCESS OF AUTOMATED SOFTWARE-DEFINED RADIO COMMUNICATION NETWORK IMPLEMENTED BY ORTHOGONAL FREQUENCY DIVISION AND MULTIPLEXING." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 24 (July 28, 2023): 39–46. http://dx.doi.org/10.19062/2247-3173.2023.24.5.
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A software-defined radio (SDR) system is a radio communication system which uses software for the modulation and demodulation of radio signals. An SDR performs significant amounts of signal processing in a general purpose computer, or a reconfigurable piece of digital electronics. SDR can talk and listen to multiple channels at the same time, also it can be quickly and easily upgraded with enhanced features. In fact, the upgrade could be delivered over-the-air In the long run, SDR is expected to become the dominant technology in radio communications
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Chen, Shichuan, Kunfeng Qiu, Shilian Zheng, Qi Xuan, and Xiaoniu Yang. "Radio–Image Transformer: Bridging Radio Modulation Classification and ImageNet Classification." Electronics 9, no. 10 (2020): 1646. http://dx.doi.org/10.3390/electronics9101646.
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Radio modulation classification is widely used in the field of wireless communication. In this paper, in order to realize radio modulation classification with the help of the existing ImageNet classification models, we propose a radio–image transformer which extracts the instantaneous amplitude, instantaneous phase and instantaneous frequency from the received radio complex baseband signals, then converts the signals into images by the proposed signal rearrangement method or convolution mapping method. We finally use the existing ImageNet classification network models to classify the modulation type of the signal. The experimental results show that the proposed signal rearrangement method and convolution mapping method are superior to the methods using constellation diagrams and time–frequency images, which shows their performance advantages. In addition, by comparing the results of the seven ImageNet classification network models, it can be seen that, except for the relatively poor performance of the architecture MNASNet1_0, the modulation classification performance obtained by the other six network architectures is similar, indicating that the proposed methods do not have high requirements for the architecture of the selected ImageNet classification network models. Moreover, the experimental results show that our method has good classification performance for signal datasets with different sampling rates, Orthogonal Frequency Division Multiplexing (OFDM) signals and real measured signals.
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Varavin, A., H. Yermak, D. Kudryavtsev, et al. "AN INTERFERENCE-IMMUNE COMMUNICATION SYSTEM FOR DIGITAL DATA TRANSMISSION BASED ON A MULTI-CHANNEL CORRELATOR Part 1. DEVELOPMENT OF A SIGNAL FORMATION AND DECODING ALGORITHM FOR THE SUB-NOISE COMMUNICATION SYSTEM." Radio physics and radio astronomy 30, no. 1 (2025): 011–23. https://doi.org/10.15407/rpra30.01.011.
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Subject and Purpose. The work aims to develop and study an interference-immune radio communication system for transmitting and receiving digital information and video images using a Software-Defined Radio (SDR). Methods and Methodology. The processes of generation, reception, and decoding of broadband pseudorandom signals formed by the Direct Sequence Spread Spectrum (DSSS) technology are mathematically modeled. Basic software solutions are experimentally developed for data receiving, transforming, processing, and displaying. The functional capabilities of the hardware and software tools are evaluated and analyzed for their subsequent integration into the system. Results. An algorithm has been developed for generating and decoding from a sub-noise spread spectrum correlation communication system using DSSS technology. The processes of data formation and transmission by noise-like signals based on the Gold codes have been modeled. An algorithm for noise-like signal identification has been developed, based on the mathematical determination of the autocorrelation function which evaluates the relationship (degree of similarity) between the signal and its time-shifted copy. To maintain the phase coherence between the expected (received from air) and reference (key) signals at any time, a cyclically operating multi-channel correlator was developed. We estimated the maximum radio data rates over the radio channels when transmitting low-frequency telemetry signals, control signals, and video signals. Conclusions. The research and development of digital communication channels using signal coding through the Direct Sequence Spread Spectrum (DSSS) method along with Gold codes have demonstrated the potential to create compact devices for establishing interference-immune and low-noise multi-channel communication which is particularly suitable for data transmission in modern environments.
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Min, Wang, Yang Maoquan, Wang Xiaojun, Guang Kui, and Zhang Xiao. "A Radio Communication System for Neuronal Signals." Chinese Journal of Population Resources and Environment 10, no. 3 (2012): 125–28. http://dx.doi.org/10.1080/10042857.2012.10685092.
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Sholokhov, Serhii, Ivan Samborsky, Bohdan Nikolaienko, and Іеvgen Samborskyі. "Method of assessment of energy intensity of public communication radio equipment with software adjustable working frequency for determination of interruption protection indicators." Collection "Information Technology and Security" 11, no. 1 (2023): 4–14. http://dx.doi.org/10.20535/2411-1031.2023.11.1.279857.
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The ability of modern departmental communication systems to perform tasks in conditions of radio-electronic suppression by the enemy characterizes their immunity to interference. It is known that the interference protection of radio equipment in conditions of enemy radio reconnaissance and electronic suppression can be described by a set of probability indicators that characterize its secrecy (energy) and interference resistance. Secrecy (energy) is the ability of departmental communication systems to counteract the enemy's radio reconnaissance means, which are aimed at detecting the fact of the departmental communication system's operation, determining the parameters of its radio emissions, intercepting information for further deliberate radio-electronic and electromagnetic interference. One of the methods that significantly increases the secrecy of departmental communication systems is the use of signals with software-defined frequency conversion. These signals are a set of radio pulses (signal elements) whose frequencies change over time according to the law of pseudorandom sequence. The enemy searches for and detects the elements of these signals in a wide frequency band. This search is carried out under conditions of partial a priori uncertainty regarding their spectral-time structure using panoramic receivers. It should be noted that the basis of the radio reconnaissance means of the world's leading states is Fourier processors, which perform Fourier transforms from the implementation of a set of input signals. When designing and developing methods for interference protection, the problem of evaluating their energy stealth arises. Known research results and existing methodologies allow for a simplified assessment of the energy stealth of radio equipment with software frequency hopping under time constraints for decision making and do not take into account the peculiarities of the construction of modern panoramic analysis tools. In particular, the known methodologies do not take into account the peculiarities of the process of frequency-time searching for elements of such signals in a wide frequency range using panoramic receiving devices based on the complex application of different types of Fourier processors, the order of spectral-time processing of signal elements at the output of Fourier processors, requirements for their threshold sensitivity and dynamic signal range. Therefore, the article proposes a methodology for evaluating the stealthiness of communication systems with software-defined frequency tuning to determine the indicators of interference protection based on Fourier processors in the conditions of the opponent's use of modern radio-electronic intelligence tools.
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Senatorov, L. A., V. V. Khvorenkov, and A. V. Savelyev. "Evaluation of Additive White Gaussian Noise Influence on the Energy Stealthiness of Complex Signals." Vestnik IzhGTU imeni M.T. Kalashnikova 26, no. 3 (2023): 75–81. http://dx.doi.org/10.22213/2413-1172-2023-3-75-81.
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While designing special-purpose radio communication systems, it is important to take into account the work of potential adversaries or intruders who have electronic warfare and electronic countermeasure, whose task is to disrupt radio communications or intercept transmitted messages. Today, a number of methods are known to counteract electronic warfare, the main of them are aimed to avoid destructive influences of radio warfare. In this area, the issue of creating “uncompromising” radio transmitting devices is promising. The term “incompromising” means that a radio transmitting device is capable of transmitting a covert signal in such a way that the enemy's electronic warfare equipment could not fixate the broadcast. The secrecy of the signal is ensured by a set of technical and organizational measures. When studying secrecy issues, the greatest attention is paid to energy secrecy, since this component mainly depends on design decisions at the design stage. The article deals with the problem of obtaining an estimate of the influence of AWGN on the probability of correct signal transmission. The influence of noise and interference is considered as an important element of electronic warfare and countering enemy electronic warfare. The purpose of the article is to study the effect of noise on the degree of energy secrecy of signals. The influence of AWGN and phase noise for BPSK, QPSK, QAM-16 and chirp signals has been evaluated. Based on the results, some regularities are described that make it possible to evaluate the effect of AWGN and phase noise on the noise immunity of these signals. Studies of the chirp signal on the degree of energy secrecy under the influence of noise have been carried out. As a result of the study, conclusions were drawn about the influence of external noise on the degree of energy secrecy of signals, the chirp signal was recognized as potentially suitable for use in special communication systems.
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Wu, Zilong, Hong Chen, and Yingke Lei. "Recognizing Non-Collaborative Radio Station Communication Behaviors Using an Ameliorated LeNet." Sensors 20, no. 15 (2020): 4320. http://dx.doi.org/10.3390/s20154320.
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This work improves a LeNet model algorithm based on a signal’s bispectral features to recognize the communication behaviors of a non-collaborative short-wave radio station. At first, the mapping relationships between the burst waveforms and the communication behaviors of a radio station are analyzed. Then, bispectral features of simulated behavior signals are obtained as the input of the network. With regard to the recognition neural network, the structure of LeNet and the size of the convolutional kernel in LeNet are optimized. Finally, the five types of communication behavior are recognized by using the improved bispectral estimation matrix of signals and the ameliorated LeNet. The experimental results show that when the signal-to-noise ratio (SNR) values are 8, 10, or 15 dB, the recognition accuracy values of the improved algorithm reach 81.5%, 94.5%, and 99.3%, respectively. Compared with other algorithms, the training time cost and recognition accuracy of the proposed algorithm are lower and higher, respectively; thus, the proposed algorithm is of great practical value.
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HIKITA, MITSUTAKA. "SAW ANTENNA DUPLEXERS FOR MOBILE COMMUNICATION." International Journal of High Speed Electronics and Systems 10, no. 03 (2000): 793–824. http://dx.doi.org/10.1142/s0129156400000647.
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Mobile communications systems such as cellular radios have recently become very widespread and important to both business and personal users. A key component in the radio transceiver is an antenna duplexer, which makes it possible to use a single antenna to transmit and receive RF signals simultaneously. In this chapter, block diagrams of radio transceivers are shown and the frequency characteristics required for duplexers are discussed with regard to the system requirements. Procedures for designing duplexers using SAW-resonator-coupled filters and experimental results relevant to several systems are presented. Non-linear characteristics of the duplexers are also discussed.
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Hordiichuk, V., V. Sergienko, A. Mishchenko, A. Shyshatskyi, and P. Pozdniakov. "ANALYSIS OF TECHNICAL CHARACTERISTICS OF THE RADIOELECTRONIC INTELLIGENCE OF THE RUSSIAN FEDERATION." Системи управління, навігації та зв’язку. Збірник наукових праць 1, no. 53 (2019): 142–46. http://dx.doi.org/10.26906/sunz.2019.1.142.
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One of the most important characteristics of radiocommunication systems and facilities that operate in the conditions of radio-electronic suppression is their secrecy, which is the ability of systems and radio communications to withstand the actions of radio-intelligence. Radiotechnical intelligence provides consistent execution of three main tasks: the detection of the fact of the operation of the system (devices) of radio communication (signal detection); determination of the structure of the detected signal and its basic parameters; disclosure of the information contained in the signal. Taking into account the Operations of the Joint Forces in the East of Ukraine caused by the armed aggression of the Russian Federation, an urgent question is raised regarding the analysis of the technical characteristics of the radio-electronic intelligence systems for determining the operation of the radiocommunication equipment of the Armed Forces of Ukraine and the structure of the type of signals used. The authors of this article conducted an analysis of the technical characteristics of the radio-electronic intelligence systems of the Russian Armed Forces to determine the operation of the radiocommunication equipment of the Armed Forces of Ukraine and the structure of the type of signals used. During the research, the authors used the basic provisions of the theory of communication, the theory of electronic warfare, the theory of signals and general scientific methods of analysis and synthesis. According to the results of the research, the following conclusions can be drawn: the frequency range of the electronic intelligence facilities of the Russian Armed Forces is much larger than the frequency range of the radiocommunication facilities of the Armed Forces of Ukraine and technically developed countries of the world; classical methods of increasing impedance and secrecy such as pseudo-random reconstruction of the operating frequency is not able to provide a given level of secrecy. In view of this, the direction of further research should be considered the development of scientific and methodical apparatus for increasing the structural secrecy of radio communications based on the use of time-signal structures.
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Nawaz, Tassadaq, and Ali Alzahrani. "Machine-Learning-Assisted Cyclostationary Spectral Analysis for Joint Signal Classification and Jammer Detection at the Physical Layer of Cognitive Radio." Sensors 23, no. 16 (2023): 7144. http://dx.doi.org/10.3390/s23167144.
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Cognitive radio technology was introduced as a possible solution for spectrum scarcity by exploiting dynamic spectrum access. In the last two decades, most researchers focused on enabling cognitive radios for managing the spectrum. However, due to their intelligent nature, cognitive radios can scan the radio frequency environment and change their transmission parameters accordingly on-the-fly. Such capabilities make it suitable for the design of both advanced jamming and anti-jamming systems. In this context, our work presents a novel, robust algorithm for spectrum characterisation in wideband radios. The proposed algorithm considers that a wideband spectrum is sensed by a cognitive radio terminal. The wideband is constituted of different narrowband signals that could either be licit signals or signals jammed by stealthy jammers. Cyclostationary feature detection is adopted to measure the spectral correlation density function of each narrowband signal. Then, cyclic and angular frequency profiles are obtained from the spectral correlation density function, concatenated, and used as the feature sets for the artificial neural network, which characterise each narrowband signal as a licit signal with a particular modulation scheme or a signal jammed by a specific stealthy jammer. The algorithm is tested under both multi-tone and modulated stealthy jamming attacks. Results show that the classification accuracy of our novel algorithm is superior when compared with recently proposed signal classifications and jamming detection algorithms. The applications of the algorithm can be found in both commercial and military communication systems.
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Volkov, A. A., and M. S. Morozov. "METHOD FOR IMPROVING SELECTIVITY OF SIGNALS IN RADIO COMMUNICATION." World of Transport and Transportation 14, no. 2 (2016): 56–63. http://dx.doi.org/10.30932/1992-3252-2016-14-2-6.
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[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT Taking into account the characteristics of railway radio communication a precision wideband phase shifter to 90° for an intermediate frequency signal is offered. A phase preselector of a receiver, combined with its frequency converter, is developed, allowing to further increase selectivity of adjacent and image channels, as well as sensitivity of a receiver while simplifying its structure. The results of calculations of structural elements and transmission of signals in the range of radio frequencies used are shown. Keywords: railway, radio communication, receiver, selectivity, sensitivity, image channel, adjacent channel, wideband phase shifter to 90°, frequency response, phase response, phase preselector, stability gain.
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Okorochkov, Alexander, and Nadezda Dmitrienko. "Influence of the radio signals frequency band on their spatial selection in communication channels." E3S Web of Conferences 279 (2021): 02002. http://dx.doi.org/10.1051/e3sconf/202127902002.
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This article deals with the dependence of the signal-to-noise ratio (S/N) on the frequency band of a radio channel when transmitting three different radio signals over it based on a mathematical model. Signals are transmitted on a single carrier frequency, in one direction and occupy the entire channel frequency band, which varied from 0 to 30 GHz. A threeelement sparse antenna array (SAA) is used for signal transmission. Each signal is emitted by all three SAA elements with certain phase shifts. In the reception area, such a structure of the total field is formed, at which the maxima of all transmitted signals are spatially spaced. This allows each signal to be received on a separate antenna. Studies have shown that the S/N ratio for different signals depends differently on the channel bandwidth. For a signal emitted by all SAA antennas in phase, the S/N ratio is practically independent of the bandwidth and is about 70 dB. For the two remaining phased signals the S/N ratio varies equally over the entire range of the channel frequency band values and is characterized by a sharp drop from 62 to 8 dB.
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Sugandi, Budi, Fathiyyah Syahidah, and Ridwan Ridwan. "Analysis of Ship Radio Frequency Coverage Failure." Journal of Applied Electrical Engineering 8, no. 1 (2024): 78–82. http://dx.doi.org/10.30871/jaee.v8i1.7810.
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MF/HF Radio communication equipment is a communication device that uses a medium or high frequency system that is intended for maritime purposes. The device is equipped with a maritime mobile service identity, which has the ability to transmit, receive and monitor distress signals. The device also can be used for normal communication between ship-to-ship and ship-to-land. In this article, we conducted direct monthly testing of MF/HF Radio when sending distress signals. We monitored the problems caused by delays in the process of sending and receiving distress signals when the ship was sailing. The delays occurred due to the Single Side Band MF antenna. To analyze the problem, we propose a qualitative descriptive approach, which describs and analyzes the problems found. We use four categories to analyze the problem which are number of incidents, primary causes of failure, time of incidents and average duration of failure.The experimental results show the results of each category. The frequency coverage failure incidents has eight times incidents. The biggest cause failure was caused by weather interference with 35 % failure. The time of incident was at night time. It was 30 % incidents. And the average duration failure was in two hours with 40%. Using these data, we can prevent and improve the MF/HF radio communication when sending and receiving distress signal optimally. Therefore, in shipping activities especially when carrying out communication activities and facing emergencies, distress signals can be sent and received quickly and accurately.
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Deng, Shouyun, Zhitao Huang, Xiang Wang, and Guangquan Huang. "Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy." International Journal of Antennas and Propagation 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/1538728.
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Radio frequency fingerprint (RF fingerprint) extraction is a technology that can identify the unique radio transmitter at the physical level, using only external feature measurements to match the feature library. RF fingerprint is the reflection of differences between hardware components of transmitters, and it contains rich nonlinear characteristics of internal components within transmitter. RF fingerprint technique has been widely applied to enhance the security of radio frequency communication. In this paper, we propose a new RF fingerprint method based on multidimension permutation entropy. We analyze the generation mechanism of RF fingerprint according to physical structure of radio transmitter. A signal acquisition system is designed to capture the signals to evaluate our method, where signals are generated from the same three Anykey AKDS700 radios. The proposed method can achieve higher classification accuracy than that of the other two steady-state methods, and its performance under different SNR is evaluated from experimental data. The results demonstrate the effectiveness of the proposal.
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Nawaz, Tassadaq, and Ramasamy Srinivasaga Naidu. "AI-Enabled Compressive Spectrum Classification for Wideband Radios." Technologies 11, no. 6 (2023): 182. http://dx.doi.org/10.3390/technologies11060182.
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Cognitive radio is a promising technology that emerged as a potential solution to the spectrum shortage problem by enabling opportunistic spectrum access. In many cases, cognitive radios are required to sense a wide range of frequencies to locate the spectrum white spaces; hence, wideband spectrum comes into play, which is also an essential step in future wireless systems to boost the throughput. Cognitive radios are intelligent devices and therefore can be opted for the development of modern jamming and anti-jamming solutions. To this end, our article introduces a novel AI-enabled energy-efficient and robust technique for wideband radio spectrum characterization. Our work considers a wideband radio spectrum made up of numerous narrowband signals, which could be normal communications or signals disrupted by a stealthy jammer. First, the receiver recovers the wideband from significantly low sub-Nyquist rate samples by exploiting compressive sensing technique to decrease the overhead caused by the high complexity analog-to-digital conversion process. Once the wideband is recovered, each available narrowband signal is given to a cyclostationary feature detector that computes the corresponding spectral correlation function and extracts the feature vectors in the form of cycle and frequency profiles. Then profiles are concatenated and given as input features set to an artificial neural network which in turn classifies each NB signal as legitimate communication with a specific modulation or disrupted by a stealthy jammer. The results show a classification accuracy of about 0.99 is achieved. Moreover, the algorithm highlights significantly high performances in comparison to recently reported spectrum classification techniques. The proposed technique can be used to design anti-jamming systems for military communication systems.
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Lisnichuk, A. A. "MULTI-CRITERIA SYNTHESIS PROCEDURE OF OFDM-SIGNALS TO INCREASE ENERGY EFFICIENCY AND STRUCTURAL HIDING OF COMMUNICATION RADIO SYSTEMS." Vestnik of Ryazan State Radio Engineering University 77 (2021): 17–28. http://dx.doi.org/10.21667/1995-4565-2021-77-17-28.
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For widely used in practice communication radio systems based on OFDM signals, the known disadvantages are both a high value of PAPR (leading to a decrease in energy efficiency) and a rela-tively low structural hiding of modulation types. The work aim is to develop a procedure for multi-criteria synthesis of multi-position OFDM radio signals to increase the energy efficiency and structur-al hiding of communication radio systems. At the first stage, the combined quality criterion includes particular criteria that are responsible for increasing the noise immunity to additive «white» Gaussian noise and ensuring the maximization of the structural hiding of the generated signal. The application of the last criterion in radio monitoring systems led to a significant increase in bit error rate from the set of detectors for the known types of signals (up to values of more than 30 %). The proposed two-stage procedure for multi-criteria synthesis of OFDM radio signals additionally provides a gain in energy efficiency (according to the CCDF level ) by more than 0.9 dB and 6.6 dB, respective-ly, compared to the case of using the known reducing PAPR technique PTS (Partial transmit sequence) and without using any method to improve the energy efficiency of OFDM signals.
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Tian, Yuan, Hong Wen, Jiaxin Zhou, Zhiqiang Duan, and Tao Li. "Optimized Radio Frequency Footprint Identification Based on UAV Telemetry Radios." Sensors 24, no. 16 (2024): 5099. http://dx.doi.org/10.3390/s24165099.
Full textAbstract:
With the widespread use of unmanned aerial vehicles (UAVs), the detection and identification of UAVs is a vital security issue for the safety of airspace and ground facilities in the no-fly zone. Telemetry radios are important wireless communication devices for UAVs, especially in UAVs beyond the visual line of sight (BVLOS) operating mode. This work focuses on the UAV identification approach using transient signals from UAV telemetry radios instead of the signals from UAV controllers that the former research work depended on. In our novel UAV Radio Frequency (RF) identification system framework based on telemetry radio signals, the EC−α algorithm is optimized to detect the starting point of the UAV transient signal and the detection accuracy at different signal-to-noise ratios (SNR) is evaluated. In the training stage, the Convolutional Neural Network (CNN) model is trained to extract features from raw I/Q data of the transient signals with different waveforms. Its architecture and hyperparameters are analyzed and optimized. In the identification stage, the extracted transient signals are clustered through the Self-Organizing Map (SOM) algorithm and the Clustering Signals Joint Identification (CSJI) algorithm is proposed to improve the accuracy of RF fingerprint identification. To evaluate the performance of our proposed approach, we design a testbed, including two UAVs as the flight platform, a Universal Software Radio Peripheral (USRP) as the receiver, and 20 telemetry radios with the same model as targets for identification. Indoor test results show that the optimized identification approach achieves an average accuracy of 92.3% at 30 dB. In comparison, the identification accuracy of SVM and KNN is 69.7% and 74.5%, respectively, at the same SNR condition. Extensive experiments are conducted outdoors to demonstrate the feasibility of this approach.
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Kaganov, W. I., and F. Ki. "Redistribution of Signals Power in Multipath System of Radio Communication." Russian Technological Journal 7, no. 4 (2019): 54–59. http://dx.doi.org/10.32362/2500-316x-2019-7-4-54-59.
Full textAbstract:
Two types of satellite radio of communication systems are compared: single-beam and multibeam. The problem of summation and redistribution of radio signal powers of communication systems is discussed. The power redistribution of a group of microwave transistor amplifiers between different beams is analyzed. An adder circuit based on bridge quadrature devices is considered in two- and four-ray systems. For two such cases, the scattering matrix of the signal power adder was compiled. On the basis of these two cases it is possible to compose a scattering matrix for the number of summed powers of microwave signals with the number of rays equal to 8, 16 and 32.
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Liao, Mingxue, Yuanyuan Liang, and Pin Lv. "FCT: An Adaptive Model for Classification of Mixed Radio Signals." Electronics 14, no. 10 (2025): 2028. https://doi.org/10.3390/electronics14102028.
Full textAbstract:
In recent years, radio signal classification has become a hot topic in the field of wireless communication. However, current algorithms have low classification accuracy at low signal-to-noise radio (SNR) signals, and under this condition, they cannot achieve good classification results of mixed radio signals either. In this paper, we proposed an adaptive model based on feedforward neural network (FNN), convolutional neural network (CNN), and Transformer, named FCT. FCT is proposed to achieve better classification performance on mixed radio signals by leveraging the classification advantages of CNNs and Transformer networks for different SNR ratios. The parameters of FCT will be adjusted dynamically to achieve lower loss or better classification accuracy during the training process. The FCT model is verified on a public dataset, showing better performance than current state-of-the-art (SOTA) models of the mixed radio signals, especially at low SNR signals. The best classification accuracy of the FCT can reach 95.70% when the signals are at high SNR. The overall classification accuracy of FCT can reach 84.04%, which is higher than current SOTA models by 26.12%. Theoretical analysis and simulation experiments show that the proposed FCT model provides a new research direction in the classification of mixed radio signals.
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Strakholis, Andrey A., Vladimir T. Oleynikov, and Andrey N. Petrenko. "Noise-like signals and their conversion used in radio communication systems." T-Comm 16, no. 7 (2022): 14–20. http://dx.doi.org/10.36724/2072-8735-2022-16-7-14-20.
Full textAbstract:
The actual problem of determining the principle of the transmission signal formation and its transformation into an initial signal providing stable radio communication in a radio interference situation is considered. This is typical when organizing the management of fire extinguishing units, especially in forests and steppes. The subject of the study is the use of a reprogrammable matched filter (PPSF), in which a spin echo processor with a working substance 59Co is used to convert phase-manipulated noise-like signals. The purpose of the work is to propose the use of a spin processor in the PPSF, which ensures the conversion of FM SHPS even in the presence of dynamically changing multipath. With this configuration of the radio-transmitting device, it becomes possible to organize multicast radio communication without deploying a base station. The results of the study include the results of machine modeling of the conversion of FM SHPS to PPSF under unfavorable conditions of formation of a three-beam signal at the input of a radio receiver. The structural diagrams of the FM SHPS and PPSF shaper of the laboratory installation on which the research was carried out are given. The obtained results of laboratory studies within the permissible error, when removing the results and in measuring instruments coincide with the results of machine modeling. Therefore, the considered principle of converting FM SHPS into PPSF, which is based on the principle of converting FM SHPS into a primary signal, can be successfully implemented in radio stations used by units of the Ministry of Emergency Situations of Russia in fire extinguishing areas.
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Horbatyi, Ivan, and Oleksandr Usatyi. "INVESTIGATION OF SPREAD SPECTRUM SIGNAL ANALYSIS METHODS IN MODERN COMMUNICATION SYSTEMS." Information and communication technologies, electronic engineering 5, no. 1 (2025): 125–35. https://doi.org/10.23939/ictee2025.01.125.
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The article examines modern approaches to the analysis of spread spectrum signals, particularly those based on pseudorandom frequency hopping and chirp spectrum expansion. The main focus is on the development and optimization of efficient time-frequency analysis methods for the identification and monitoring of such signals under real-world conditions, considering their complexity and dynamic nature. Special attention is given to the application of methods that ensure high accuracy, efficiency, and resistance to interference, which is extremely important in environments with high radio frequency activity. A combined approach is proposed, incorporating the Fast Fourier Transform, spectrograms, and continuous wavelet transform using Morlet wavelets, the "Mexican hat" wavelet, and a specially adapted chirp wavelet. This approach allows for obtaining detailed information about the frequency and time characteristics of signals and ensures accuracy in detecting non-stationary components. The article presents the results of studies on signals with pseudorandom frequency hopping and chirp spectrum expansion. Particular attention is paid to the impact of frequency dynamics and noise conditions on the effectiveness of signal identification. A comparison of different analysis methods demonstrates the high efficiency of continuous wavelet transform combined with traditional spectral methods for recognizing non-stationary signals and determining their key frequency components. The obtained results can be useful for the development of radio monitoring systems, the analysis, and classification of complex signals in various fields, such as telecommunications, radar, and radio monitoring. The research has practical significance for the creation of algorithms for signal detection and analysis in modern wireless communications and specialized communication systems. The developed approaches can be applied in a wide range of applications, including civilian and military systems that require high analysis accuracy and resistance to interference, as well as in automated monitoring and recognition of complex signals.
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Kubrak, O. M., V. O. Cholpanov, and I. M. Dyukov. "ESTIMATION OF BIT ERROR PROBABILITIES OF COMMUNICATION SYSTEMS WITH FM BROADBAND SIGNALS." Проблеми створення, випробування, застосування та експлуатації складних інформаційних систем, no. 18 (December 30, 2020): 23–31. http://dx.doi.org/10.46972/2076-1546.2020.18.03.
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Today, wireless communication is one of the most promising areas in the field of communications. Modern radio communication systems and facilities operate in a complex electronic environment. The development of next-generation wireless networks depends on both transmitting and receiving equipment, which must provide the high data rates needed to maintain a reliable level of interference protection. The main factors influencing the quality of radio communication are natural and intentional interference in the radio wave propagation channel, multi-beam propagation, bandwidth limitation and the need for asynchronous access. One of the possible methods of partial solution of the above problems is the use of extended spectrum communication systems. The article investigates the effectiveness of different types of phase modulation used for Direct Sequence Spread Spectrum systems. An idealized channel with additive white Gaussian noise was chosen as the radio wave propagation channel. It has been observed that Binary phase shift keying radio systems achieve better Bit error rate values than other systems. The research was conducted in the environment of dynamic interdisciplinary modeling of complex technical systems - Simulink (the main tool for model-oriented design), whose main interface is a graphical tool for charting and a flexible set of libraries of functional blocks. The simulation results showed that for a given data rate and under the influence of AWGN on the propagation channel, DSSS-BPSK was more resistant to the negative effects of white noise. Future research will focus on evaluating the effectiveness of the SSS communication system in the event of different types of interference.
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Li, Haitao, Xiang Chen, Yingke Lei, Pengcheng Li, and Caiyi Lou. "Identification of Shortwave Radio Communication Behavior Based on Autocorrelation Spectrogram Features." Wireless Communications and Mobile Computing 2022 (September 22, 2022): 1–14. http://dx.doi.org/10.1155/2022/8614952.
Full textAbstract:
Cognitive communication behavior is becoming a research hotspot in the field of communication confrontation. In theory, the behavioral intention of noncooperating parties can be obtained by analyzing communication signals. Considering the complexity of the actual electromagnetic environment, even when the signal-to-noise ratio (SNR) is low, a certain accuracy still needs to be guaranteed. In this paper, according to five types of physical burst waveforms defined by the shortwave radio interoperability standard, a signal feature extraction method based on autocorrelation spectrogram features is proposed, and a two-input convolutional neural network (CNN) for classification is designed to improve the identification ability of shortwave communication behavior. The experimental results illustrate that the five kinds of shortwave radio communication behaviors can be accurately identified even when the noise is large. The research in this paper can directly analyze the communication behavior through physical layer signal without demodulation, which has the ability to grasp the communication behavior of the shortwave radio station in real time.