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Journal articles on the topic 'Software radio'

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1

Simić, Igor, and Aleksa Zejak. "Software radio." Vojnotehnicki glasnik 46, no. 6 (1998): 574–82. http://dx.doi.org/10.5937/vojtehg9805574s.

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2

Kwang-Cheng Chen, R. Prasad, and H. V. Poor. "Software Radio." IEEE Personal Communications 6, no. 4 (1999): 12. http://dx.doi.org/10.1109/mpc.1999.788209.

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3

Mitola, J., and G. Q. Maguire. "Cognitive radio: making software radios more personal." IEEE Personal Communications 6, no. 4 (1999): 13–18. http://dx.doi.org/10.1109/98.788210.

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4

da Silva, Fabrício A. B., David F. C. Moura, and Juraci F. Galdino. "Classes of Attacks for Tactical Software Defined Radios." International Journal of Embedded and Real-Time Communication Systems 3, no. 4 (2012): 57–82. http://dx.doi.org/10.4018/jertcs.2012100104.

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This survey presents a classification of attacks that Software Communications Architecture (SCA) compliant Software Defined Radios (SDR) can suffer. This paper also discusses how attack mitigation strategies can impact the development of a SCA-compliant software infrastructure and identifies several research directions related to SDR security. The SCA standard was originally proposed by the Joint Tactical Radio System program (JTRS), which is a program for the development of military tactical radios sponsored by the US Department of Defense. The classification presented in this paper is based
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5

Jacques, Palicot, and Hentschel Tim. "Software Radio: Implementation aspects." Annales Des Télécommunications 57, no. 7-8 (2002): 567–69. http://dx.doi.org/10.1007/bf02995509.

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6

Savic, Dejan, Boban Pavlovic, and Milan Sunjevaric. "Software: Based radio architecture." Vojnotehnicki glasnik 48, no. 1 (2000): 48–54. http://dx.doi.org/10.5937/vojtehg0001048s.

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7

Bing, B. "Software-Defined Radio Basics." IEEE Distributed Systems Online 6, no. 10 (2005): 6. http://dx.doi.org/10.1109/mdso.2005.54.

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8

Mitola, J. "The software radio architecture." IEEE Communications Magazine 33, no. 5 (1995): 26–38. http://dx.doi.org/10.1109/35.393001.

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9

Buracchini, E. "The software radio concept." IEEE Communications Magazine 38, no. 9 (2000): 138–43. http://dx.doi.org/10.1109/35.868153.

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10

Wolf, W. "Building the software radio." Computer 38, no. 3 (2005): 87–89. http://dx.doi.org/10.1109/mc.2005.82.

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11

Chu, James. ""Intelligent" Software-Defined Radio ( [Book/Software Reviews]." IEEE Microwave Magazine 17, no. 11 (2016): 82–98. http://dx.doi.org/10.1109/mmm.2016.2600950.

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12

Qing, Liu, Cao Kai, and Lai Ying-yong. "FPGA Software Architecture for Software Defined Radio." Procedia Engineering 29 (2012): 2133–39. http://dx.doi.org/10.1016/j.proeng.2012.01.275.

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13

Rani, Supriya. "Software Defined Radio in Radio Frequency Identification Applications." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1887–92. http://dx.doi.org/10.22214/ijraset.2021.36778.

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RFID is an important aspect of today's age because it boosts efficiency and convenience. It is used for a lot of applications that prevent thefts of automobiles and merchandise. In current times there have been continuous transitions from analog to digital systems where software is being used to define the waveforms and analog signal processing is being replaced with digital signal processing. In this paper, we have done a thorough literature survey and understood the working of how software-defined radio is implemented in radio frequency identification for a better BER performance.
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14

Nambissan, T. Jishnu, T. V. Nikhil, and V. Vinodkumar. "A VHF Radio for Software Defined Radio Applications." Procedia Technology 24 (2016): 820–26. http://dx.doi.org/10.1016/j.protcy.2016.05.109.

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15

Dhananjaya, Shashank, and Yuvaraju B N. "Increasing the Trust Factor in Cognitive Radio Networks Driven by Software Defined Radio." International Journal of Science and Research (IJSR) 11, no. 6 (2022): 672–75. http://dx.doi.org/10.21275/sr22607143522.

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16

Moura, David Fernandes Cruz, Fabricio Alves Barbosa da Silva, and Juraci Ferreira Galdino. "Case Studies of Attacks over Adaptive Modulation Based Tactical Software Defined Radios." Journal of Computer Networks and Communications 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/703642.

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This paper presents case studies of attacks aimed at tactical software defined radios based on a classification with the most common sources of vulnerabilities, classes of attacks, and types of intrusions that military radio sets may suffer. Besides that, we also describe how attack mitigation strategies can impact the development of SDR infrastructures. By using such approach, we identify several possible sources of vulnerabilities, attacks, intrusions, and mitigation strategies, illustrating them onto typical tactical radio network deployment scenarios, as an initial and necessary step for t
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17

Sivokon, V. P., and D. V. Lapshov. "SOFTWARE DEFINED RADIO TECHNOLOGY IN THE TASKS OF RADIONOISE CONTROL." Bulletin оf Kamchatka State Technical University, no. 58 (2021): 17–28. http://dx.doi.org/10.17217/2079-0333-2021-58-17-28.

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The article is dedicated to study of the atmospheric noise properties in the range of intermediate and decameter waves in the Western Bering Sea zone, where such observations were not carried out earlier. Since it is impossible to use the radio equipment of ships for such measurements, we used devices using the technology of software-defined radio systems. The measurements were carried out along the coast of Kamchatka and made it possible to establish the characteristic temporal, spatial and frequency variations in the parameters of atmospheric noise. It was found that the radio noise intensit
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18

Silva Cabral, Yngrid Keila, Paulo Ribeiro Lins Júnior, and Jerônimo Silva Rocha. "Proposta de arcabouço experimental para rede de sensoriamento espectral usando rádio definido por software." Revista Principia - Divulgação Científica e Tecnológica do IFPB 1, no. 44 (2019): 88. http://dx.doi.org/10.18265/1517-03062015v1n44p88-99.

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<p>This paper presents an architecture proposal for a spectrum sensing network using software defined radios. The radios responsible for the sensing are implemented with SDR-RTL, a low-cost radio, capable of receiving signals from several frequency bands, such as those used in FM, DAB and DVB-T. Sensing functions are implemented using GNU Radio, the most commonly used free software for configuring software-defined radios installed in Raspberry Pi’s, which makes the sensing structure significantly compact and inexpensive when compared to other solutions. Experiments are performed to measu
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19

Reza Amini, Mohammad, Einollah Balarastaghi, and Boroujerd Branch. "Universal Neural Network Demodulator for Software Defined Radio." International Journal of Engineering and Technology 3, no. 3 (2011): 263–68. http://dx.doi.org/10.7763/ijet.2011.v3.235.

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20

Xie, Wendi, Md Gapar Md Johar, and Jacquline Tham. "Software Defined Radio Platform and Application Analysis." Journal of Computer Science and Artificial Intelligence 3, no. 2 (2025): 7–13. https://doi.org/10.54097/sq32c945.

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This research first introduces the basic concepts and development history of software-defined radio. Secondly, it specifically describes several structures of software-defined radio technology and makes detailed comparisons. Meanwhile, it expounds several key technologies of software-defined radio technology. Thirdly, it discusses several commonly used hardware platforms of software-defined radio and the matching software platforms, and analyzes the advantages and disadvantages of each platform in detail. Finally, the application scenarios of software-defined radio technology were analyzed.
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21

Tuttlebee, Walter HW. "Advances in software defined radio." Annales Des Télécommunications 57, no. 5-6 (2002): 314–37. http://dx.doi.org/10.1007/bf02995167.

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22

Kubota, Shuji. "What is Software Radio Communication." Journal of the Institute of Image Information and Television Engineers 54, no. 12 (2000): 1723–24. http://dx.doi.org/10.3169/itej.54.1723.

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23

Mitola, J., and Z. Zvonar. "Software and DSP in radio." IEEE Communications Magazine 38, no. 2 (2000): 138. http://dx.doi.org/10.1109/mcom.2000.819907.

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24

Cass, Stephen. "Software-defined radio, part II." IEEE Spectrum 50, no. 9 (2013): 24–25. http://dx.doi.org/10.1109/mspec.2013.6587181.

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25

Tuttlebee, W. H. W. "Advances in software-defined radio." Electronics Systems and Software 1, no. 1 (2003): 26–31. http://dx.doi.org/10.1049/ess:20030105.

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26

Ibodulloeva M.I and Korotkova Larisa Alexandrovna. "SOFTWARE-DEFINED SDR RADIO SYSTEM." International Journal of Innovations in Engineering Research and Technology 11, no. 10 (2024): 5–7. http://dx.doi.org/10.26662/ijiert.v11i10.pp5-7.

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The article presents software, which is one of the types of computer system support, along with technical (hardware), mathematical, informational, linguistic, organizational, methodological and legal support.
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27

Reichhart, S. P., B. Youmans, and R. Dygert. "The software radio development system." IEEE Personal Communications 6, no. 4 (1999): 20–24. http://dx.doi.org/10.1109/98.788211.

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28

Moessner, Klaus, Didier Bourse, Dieter Greifendorf, and Joerg Stammen. "Software radio and reconfiguration management." Computer Communications 26, no. 1 (2003): 26–35. http://dx.doi.org/10.1016/s1403-3664(02)00116-0.

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29

Jondral, Friedrich K., Jens Elsner, and Michael Schwall. "Software Defined Radio—Guest Editorial." Journal of Signal Processing Systems 69, no. 1 (2012): 1–3. http://dx.doi.org/10.1007/s11265-011-0651-5.

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30

Lackey, R. I., and D. W. Upmal. "Speakeasy: the military software radio." IEEE Communications Magazine 33, no. 5 (1995): 56–61. http://dx.doi.org/10.1109/35.392998.

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31

Cummings, M., and S. Haruyama. "FPGA in the software radio." IEEE Communications Magazine 37, no. 2 (1999): 108–12. http://dx.doi.org/10.1109/35.747258.

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32

Shepherd, R. "Engineering the embedded software radio." IEEE Communications Magazine 37, no. 11 (1999): 70–74. http://dx.doi.org/10.1109/35.803654.

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33

Kenington, P. B. "Emerging technologies for software radio." Electronics & Communication Engineering Journal 11, no. 2 (1999): 69–83. http://dx.doi.org/10.1049/ecej:19990203.

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34

Iancu, Daniel, John Glossner, Mihai Sima, Peter Farkas, and Michael McGuire. "Software-Defined Radio and Broadcasting." International Journal of Digital Multimedia Broadcasting 2009 (2009): 1–2. http://dx.doi.org/10.1155/2009/698402.

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35

Javidi, Giti, and Ehsan Sheybani. "Application of Digital Signal Processing in USRP Satellite Signal Detection." International Journal of Interdisciplinary Telecommunications and Networking 9, no. 2 (2017): 16–25. http://dx.doi.org/10.4018/ijitn.2017040102.

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The Universal Software Radio Peripheral development technique is designing and implementing radio frequency based systems. The distinctiveness originates from the interchangeable daughterboard within the USRP. The system is designed around the Xilinx Vertex 3 FPGA chip. This means C++, Python, and VHDL can be used to program this device. The project consists of creating a receiver. The objective of the project is to research and comprehend the hardware functionalities of the USRP. The purpose is to create codes in C++ and Python to implement receiving capabilities of the device. The goal of th
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36

Taylor, Fred, Evan Gattis, Lucca Trapani, et al. "Software Defined Radio for GNSS Radio Frequency Interference Localization." Sensors 24, no. 1 (2023): 72. http://dx.doi.org/10.3390/s24010072.

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The use of radio direction finding techniques in order to identify and reject harmful interference has been a topic of discussion both past and present for signals in the GNSS bands. Advances in commercial off-the-shelf radio hardware have led to the development of new low-cost, compact, phase coherent receiver platforms such as the KrakenSDR from KrakenRF whose testing and characterization will be the primary focus of this paper. Although not specifically designed for GNSSs, the capabilities of this platform are well aligned with the needs of GNSSs. Testing results from both benchtop and in t
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37

Berruto, Ermanno, Pilar Diaz, and Gary Fleming. "A Radio Independent Network - the Enabler for Software Radio." European Transactions on Telecommunications 10, no. 6 (1999): 647–57. http://dx.doi.org/10.1002/ett.4460100609.

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38

Gao, Jing. "Analysis of Military Application of Software Radio Communication Technology." MATEC Web of Conferences 267 (2019): 02017. http://dx.doi.org/10.1051/matecconf/201926702017.

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The emergence of software radio technology is the third technological revolution in the field of communication. In view of the immature status of the application of software radio communication technology in our country's military affairs, on the premise of interpreting the connotation and extension of software radio communication technology, this paper systematically analyses the principle and architecture of software radio, and puts forward that military software radio communication technology can be used in electronic warfare simulation evaluation and software enhancement. The conception of
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39

DUŞTINŢĂ, Dan, and Alexandra STANCIU. "SYSTEM ON CHIP DEVELOPMENT PLATFORM FOR SOFTWARE DEFINED RADIO." Review of the Air Force Academy 16, no. 1 (2018): 65–70. http://dx.doi.org/10.19062/1842-9238.2018.16.1.9.

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40

Lingaiah, D. "Software radio: A modern approach to radio engineering [Book Review]." IEEE Software 20, no. 4 (2003): 86–95. http://dx.doi.org/10.1109/ms.2003.1207473.

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41

Vega León, Andy Fabricio, and Andrea Guamo. "Comunicación Basada en Radio Cognitiva sobre Radio Definido por Software." Revista Tecnológica - ESPOL 32, no. 2 (2020): 43–50. http://dx.doi.org/10.37815/rte.v32n2.736.

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En la era de la tecnología inalámbrica, la escasez del espectro radioeléctrico plantea un grave dilema para los proveedores de servicios y los operadores de telecomunicaciones. La tecnología de Radio Cognitiva (RC) proporciona una solución innovadora para mejorar significativamente la utilización del espectro. El presente documento desarrolla y dispone la información necesaria para implementar un enlace de comunicación basado en Radio Cognitiva. Para realizar dicha tarea se utiliza herramientas como: software GNU Radio, en donde se implementa el sistema de comunicación que incluye el detector
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42

Cwalina, Krzysztof, Piotr Rajchowski, and Jarosław Sadowski. "Wideband Radio Direction Finder Implemented in Software Defined Radio Technology." Applied Mechanics and Materials 817 (January 2016): 348–55. http://dx.doi.org/10.4028/www.scientific.net/amm.817.348.

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In the paper a wideband radio direction finder (RDF) implemented in software defined radio (SDR) technology and the results of hardware layer research, including developed antenna switching unit (ASU), are presented. The results of tests of the devices, which are the part of the software defined radio platform (SDRP), and antenna switching unit, confirmed the possibility of using selected components in the final solution.
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43

Limpraptono, Yudi, Vivi Nur Cholidah, and Muhammad Rifky Arrohman. "DESAIN SOFTWARE DEFINED RADIO TRANSCEIVER BERBASIS RED PITAYA." Jurnal Mnemonic 6, no. 2 (2023): 157–62. http://dx.doi.org/10.36040/mnemonic.v6i2.8126.

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Software defined radio (SDR) adalah paradigma baru dalam desain perangkat komunikasi wireless. Teknologi SDR saat ini digunakan secara luas pada bidang telekomunikasi komersial, telepon bergerak dan banyak digunakan pada kalangan komunitas radio amatir. SDR adalah suatu sistem radio dimana komponen-komponennya yang biasanya di bangun oleh perangkat keras (mixer, filter, modulator, demodulator dll) digantikan fungsinya oleh perangkat lunak. Berbagai desain transceiver berbasis SDR yang bekerja pada band high frequency (HF) telah banyak diaplikasikan, dan berbagai perangkat lunak aplikasi SDR te
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44

Wang, Yu, Haiyan Zhang, Jian Wang, Shijie Huang, Hao Hu, and Cheng Yang. "A Software for RFI Analysis of Radio Environment around Radio Telescope." Universe 9, no. 6 (2023): 277. http://dx.doi.org/10.3390/universe9060277.

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Radio astronomy uses radio telescopes to detect very faint emissions from celestial objects. However, human-made radio frequency interference (RFI) is currently a common problem faced by most terrestrial radio telescopes, and it is getting worse with the development of the economy and technology. Therefore, it is essential to monitor and evaluate interference during the planning, construction, and operation stages of the radio telescope and protect the quiet radio environment around the radio astronomical site. In this paper, we present a software for an RFI analysis of the radio environment a
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45

Tan, Soon Heng Mavric, and Chai Kiat Yeo. "GPS Location Spoofing and FM Broadcast Intrusion Using Software-Defined Radio." International Journal of Interdisciplinary Telecommunications and Networking 12, no. 4 (2020): 104–17. http://dx.doi.org/10.4018/ijitn.2020100108.

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This paper makes use of a simple and inexpensive software-defined radio (SDR) to demonstrate the potential threats posed to wireless communication. SDR is a radio communication system where components that are traditionally implemented in hardware are being replaced via software running on computing devices. The authors make use of a simple SDR to demonstrate how local disruption to wireless communication can be easily carried out. In particular, the authors show how FM radio broadcast can be hijacked and the spoofing of GPS location signals using a single SDR on a local basis as well as how G
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46

Tato, Anxo. "Software Defined Radio: A Brief Introduction." Proceedings 2, no. 18 (2018): 1196. http://dx.doi.org/10.3390/proceedings2181196.

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In this short article the concept of Software Defined Radio (SDR) is introduced and compared with the traditional radio. Then, a research project of atlanTTic center which used this technology was briefly presented and lastly, we include a reference to some dissemination activities related with SDR to be developed shortly.
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47

Sheybani, Ehsan, and Giti Javidi. "Integrating Software Defined Radio with USRP." International Journal of Interdisciplinary Telecommunications and Networking 9, no. 3 (2017): 1–9. http://dx.doi.org/10.4018/ijitn.2017070101.

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The USRP1 is the original Universal Software Radio Peripheral hardware (USRP) that provides entry-level RF processing capability. Its primary purpose is to provide flexible software defined radio development capability at a low price. You can control the frequency you receive and transmit by installing different daughter-boards. The authors' USRP model had been configured to receive a signal from local radio stations in the DC, Maryland metropolitan area with the BasicRX model daughterboard. The programmable USRP was running python block code implemented in the GNU Radio Companion (GRC) on Ubu
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48

Dorogov, A. Yu, and A. I. Yashin. "SOFTWARE PACKAGE FOR MODELING HF-BAND PACKET RADIO NETWORKS." H&ES Research 12, no. 6 (2020): 26–37. http://dx.doi.org/10.36724/2409-5419-2020-12-6-26-37.

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It is noted that the complexity and constant variability of the ionosphere structure, the presence of many factors affecting the propagation of radio waves in such an environment, as well as the complex topology of communication networks lead to the need the computer modeling of data transmission in HF-band networks. The existing models of representation of ionospheric processes and digital radio channels are described. It is shown that to solve the problems of designing a radio data transmission network, complex modeling is necessary, taking into account the network topology, signal propagati
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49

Regula, William M., Jordan M. L. Gilbert, and Waseem A. Sheikh. "Dynamic wireless spectrum access using GNU Radio and software-defined radios." International Journal of Communication Systems 33, no. 4 (2019): e4233. http://dx.doi.org/10.1002/dac.4233.

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50

VULAVABETI, RAGHUNATH REDDY, and REDDY K. RAVINDRA. "SOFTWARE DEFINED RADIO BASED BEACON RECEIVER." i-manager's Journal on Communication Engineering and Systems 8, no. 3 (2019): 13. http://dx.doi.org/10.26634/jcs.8.3.16779.

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