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Artykuły w czasopismach na temat „Radio techniques”

Autor: Grafiati

Data publikacji: 6 września 2023

Data aktualizacji: 31 lipca 2025

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1

Budiarjo, Ibrahim, Homayoun Nikookar, and Leo P. Ligthart. "Cognitive radio modulation techniques." IEEE Signal Processing Magazine 25, no. 6 (2008): 24–34. http://dx.doi.org/10.1109/msp.2008.929365.

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Arul, U. Steve, and S. Salai Chandira Rajan. "Spectrum Management Techniques using Cognitive Radios Cognitive Radio Technology." International Journal of Data Mining Techniques and Applications 5, no. 1 (2016): 79–82. http://dx.doi.org/10.20894/ijdmta.102.005.001.019.

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3

Kazhakov, Stefan. "RELIABILITY TECHNIQUES FOR RFID." Journal Scientific and Applied Research 12, no. 1 (2017): 27–39. http://dx.doi.org/10.46687/jsar.v12i1.224.

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Radio Frequency Identification (RFID) technology has the potential to dramatically improve numerous industrial practices. However, it still faces many challenges, including security and reliability, which may limit its use in many application scenarios. While security has received considerable attention, reliability has escaped much of the research scrutiny. Radio Frequency Identification (RFID) technology is growing rapidly across many different industries. Developers apply the technology not only in traditional applications such as asset or inventory tracking, but also in security services s

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4

Prasad, Athul, Anass Benjebbour, Omer Bulakci, Klaus I. Pedersen, Nuno K. Pratas, and Marco Mezzavilla. "Agile Radio Resource Management Techniques for 5G New Radio." IEEE Communications Magazine 55, no. 6 (2017): 62–63. http://dx.doi.org/10.1109/mcom.2017.7945854.

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Ohtsuki, Tomoaki. "Monitoring Techniques with Radio Waves." IEICE Communications Society Magazine 11, no. 1 (2017): 24–29. http://dx.doi.org/10.1587/bplus.11.24.

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6

Parsons, J. D. "HF Radio Systems and Techniques." IEE Review 38, no. 5 (1992): 195. http://dx.doi.org/10.1049/ir:19920081.

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7

Angevine, Wayne M., W. L. Ecklund, D. A. Carter, K. S. Gage, and K. P. Moran. "Improved Radio Acoustic Sounding Techniques." Journal of Atmospheric and Oceanic Technology 11, no. 1 (1994): 42–49. http://dx.doi.org/10.1175/1520-0426(1994)011<0042:irast>2.0.co;2.

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8

Budiarjo, I., M. K. Lakshmanan, and H. Nikookar. "Cognitive Radio Dynamic Access Techniques." Wireless Personal Communications 45, no. 3 (2008): 293–324. http://dx.doi.org/10.1007/s11277-008-9473-6.

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9

Han, Congzheng, Tim Harrold, Simon Armour, et al. "Green radio: radio techniques to enable energy-efficient wireless networks." IEEE Communications Magazine 49, no. 6 (2011): 46–54. http://dx.doi.org/10.1109/mcom.2011.5783984.

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10

Najib Husain, M. Ishak Syahadat, and Dewi Anggraini. "BAHASA LOKAL SULAWESI TENGGARA DALAM DUNIA PENYIARAN." Journal Publicuho 6, no. 2 (2023): 743–52. http://dx.doi.org/10.35817/publicuho.v6i2.201.

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This article explores the use of local languages in the broadcasting world on community radio in Southeast Sulawesi in conveying messages to listeners so that they are more easily accepted. This paper takes the case of community radio in Konawe, Buton and Wakatobi districts. This research uses a descriptive qualitative method (Moeloeng, 2005). Data collection techniques are used by collecting secondary data and primary data. Secondary data was obtained through document collection from community radios in Southeast Sulawesi. Furthermore, primary data was obtained through the researcher's field

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11

Mishra, Subhashree, Sudhansu Sekhar Singh, Bhabani Shankar Prasad Mishra, and Prabin Kumar Panigrahi. "Research on Soft Computing Techniques for Cognitive Radio." International Journal of Mobile Computing and Multimedia Communications 7, no. 2 (2016): 53–73. http://dx.doi.org/10.4018/ijmcmc.2016040104.

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Presently, the world of wireless communication is going under some crucial challenges, which attracts the attention of several researchers. Cognitive radio is defined as a multidimensional aware, autonomous radio system that learns from its experiences to reason, plan & decide future actions to meet user needs. Such a highly varied radio environment calls on intelligent management, allocation & usage of scarce resources. Issues like spectrum sensing & allocation, environmental learning i.e., adaptability & capability to learn attracts the attention of several soft computing lea

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12

Kaniewski, Paweł, Janusz Romanik, Edward Golan, and Krzysztof Zubel. "Spectrum Awareness for Cognitive Radios Supported by Radio Environment Maps: Zonal Approach." Applied Sciences 11, no. 7 (2021): 2910. http://dx.doi.org/10.3390/app11072910.

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In this paper, we present the concept of the Radio Environment Map (REM) designed to ensure electromagnetic situational awareness of cognitive radio networks. The map construction techniques based on spatial statistics are presented. The results of field tests done for Ultra High Frequency (UHF) range with different numbers of sensors are shown. Exemplary maps with selected interpolation techniques are presented. Control points where the signal from licensed users is correctly estimated are identified. Finally, the map quality is assessed, and the most promising interpolation techniques are se

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13

Noguchi, T., Y. Daido, and J. Nossek. "Modulation techniques for microwave digital radio." IEEE Communications Magazine 24, no. 10 (1986): 21–30. http://dx.doi.org/10.1109/mcom.1986.1092947.

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14

Chamberlain, J., F. Clayton, H. Sari, and P. Vandamme. "Receiver techniques for microwave digital radio." IEEE Communications Magazine 24, no. 11 (1986): 43–54. http://dx.doi.org/10.1109/mcom.1986.1092974.

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15

Razavi, Behzad. "Cognitive Radio Design Challenges and Techniques." IEEE Journal of Solid-State Circuits 45, no. 8 (2010): 1542–53. http://dx.doi.org/10.1109/jssc.2010.2049790.

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16

Kenward, R. E., P. A. Robertson, A. S. Coates, V. Marcström, and M. Karlbom. "Techniques for radio-tagging pheasant chicks." Bird Study 40, no. 1 (1993): 51–54. http://dx.doi.org/10.1080/00063659309477128.

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17

Sampei, Seiichi. "Digital Mobile Communications. Radio Transmission Techniques." Journal of the Institute of Television Engineers of Japan 49, no. 6 (1995): 730–36. http://dx.doi.org/10.3169/itej1978.49.730.

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18

Witvliet, Ben, and Mark J. Bentum. "HF Radio Systems and Techniques Announcement." IEEE Antennas and Propagation Magazine 57, no. 6 (2015): 146–47. http://dx.doi.org/10.1109/map.2015.2496120.

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19

Fisher, J. R. "Techniques for Coping with Radio Frequency Interference." Symposium - International Astronomical Union 196 (2001): 279–87. http://dx.doi.org/10.1017/s0074180900164228.

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As a complement to spectrum management efforts by radio astronomers a number of observatories and research groups around the world have begun looking into technical solutions to the problem of separating weak cosmic radiation from man-made radio signals. Some of the technical research now getting underway includes: high dynamic range receivers, low-noise superconducting filters, passive digital filtering, adaptive filters, adaptive sidelobe nulling, multi-feed correlation of RFI, and various techniques for signal blanking.Increased technical support to spectrum management can also be provided

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20

G.A.Pethunachiyar and B.Sankaragomathi. "Spectrum Sensing Techniques for Cognitive Radio Networks." RESEARCH REVIEW International Journal of Multidisciplinary 05, no. 04 (2020): 48–52. https://doi.org/10.5281/zenodo.3822209.

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The demand and the usage of wireless devices are rapidly increasing day by day. The spectrum is the important resource for the wireless device. The limited availability of the resource puts a lot of constraints in the usage of the wireless spectrum. The licensed user of the spectrum can be used by the unlicensed user in the absence of the primary user in the spectrum. It is achieved with the intelligent and promising technology of cognitive radio networks. Identifying the spectrum holes is an important task in cognitive radio. It is done with the help of spectrum sensing techniques. In this pa

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21

Kaarthik, K., P. T. Sivagurunathan, and S. Sivaranjani. "A REVIEW ON SPECTRUM SENSING METHODS FOR COGNITIVE RADIO NETWORKS." JOURNAL OF ADVANCES IN CHEMISTRY 12, no. 18 (2016): 5053–57. http://dx.doi.org/10.24297/jac.v12i18.5380.

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In Wireless Communication, Radio Spectrum is doing a vital role; for the future need it should use efficient. The existing system, it is not possible to use it efficiently where the allocation of spectrum is done based on fixed spectrum access (FSA) policy. Several surveys prove that it show the way to inefficient use of spectrum. An innovative technique is needed for spectrum utilization effectively. Using Dynamic spectrum access (DSA) policy, available spectrum can be exploited. Cognitive radio arises to be an attractive solution which introduces opportunistic usage of the frequency bands th

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22

Gramigna, Edoardo. "Calibration Techniques for Studying Venus and Mars Atmospheres." Aerotecnica Missili & Spazio 99, no. 4 (2020): 255–61. http://dx.doi.org/10.1007/s42496-020-00066-y.

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AbstractThe European Space Agency Venus Express mission (VEX) was sent to Venus in 2005 to unveil the unsolved mysteries regarding its atmosphere, the plasma environment and its temperatures. Radio occultation experiments performed by VeRa radio science instrument probed the planet’s atmosphere by studying the frequency shift on the radio signal sent by the spacecraft to Earth-based ground stations. This study carries out the calibration of the radio frequencies within a radio occultation experiment in order to correct the main sources of error as: thermal noise, spacecraft clock, spacecraft t

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23

Sazdić-Jotić, Boban, Ivan Pokrajac, Jovan Bajčetić, and Nenad Stefanović. "Review of RF-based drone classification: Techniques, datasets, and challenges." Vojnotehnicki glasnik 72, no. 2 (2024): 764–89. http://dx.doi.org/10.5937/vojtehg72-49286.

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Introduction/purpose: This article analyzes the publicly available literature on drone classification in the radio frequency domain, focusing on detection and identification. Drones are increasingly used for illegal purposes, making classification techniques crucial. This review paper covers passive radio frequency sensors, classification techniques, and datasets that highlight the challenges. Methods: Researchers are developing antidrone solutions because drones have become valuable tools and targets for illegal activities. Due to the scope of the subject matter, the review included only the

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24

Davian, VLAD. "THE ART OF WRITING FOR RADIO." Social Sciences and Education Research Review 11, no. 1 (2024): 383–85. https://doi.org/10.5281/zenodo.15258217.

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In the ever-changing landscape of media, radio continues to be a powerful, reliable, and intimate medium based mainly on the art of storytelling through sound. Crafting a compelling radio script requires a unique set of skills, as the absence of visuals places the written then spoken word in the center of the sonic universe in a way that resonates with the most intimate constituents of the audience. This article explores some of the most important nuances and techniques of writing for radio, delving into the key components that contribute to creating engaging, emotional and impactful audio nar

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25

Tsiropoulos, Georgios I., Octavia A. Dobre, Mohamed Hossam Ahmed, and Kareem E. Baddour. "Radio Resource Allocation Techniques for Efficient Spectrum Access in Cognitive Radio Networks." IEEE Communications Surveys & Tutorials 18, no. 1 (2016): 824–47. http://dx.doi.org/10.1109/comst.2014.2362796.

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26

Helmy, Maram, Mohamed S. Hassan, and Mahmoud H. Ismail. "Spectrum Allocation Techniques for Cognitive Radio Networks." IEEE Access 10 (2022): 28180–93. http://dx.doi.org/10.1109/access.2022.3157340.

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27

ShahnawazShaikh, Md, and Kamlesh Gupta. "Analysis of Cognitive Radio Spectrum Sensing Techniques." International Journal of Computer Applications 102, no. 12 (2014): 1–7. http://dx.doi.org/10.5120/17864-8805.

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28

Nicolaou, Marios, Congzheng Han, Kian Chung Beh, Simon Armour, and Angela Doufexi. "MIMO techniques for green radio guaranteeing QoS." Journal of Communications and Networks 12, no. 2 (2010): 130–39. http://dx.doi.org/10.1109/jcn.2010.6391369.

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29

Hagen, J. "Communications techniques in radio physics and astronomy." IEEE Communications Magazine 24, no. 10 (1986): 16–20. http://dx.doi.org/10.1109/mcom.1986.1092945.

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30

Salous, S., N. Nikandrou, and N. F. Bajj. "Digital techniques for mobile radio chirp sounders." IEE Proceedings - Communications 145, no. 3 (1998): 191. http://dx.doi.org/10.1049/ip-com:19982078.

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Kokare, Sheetal, and R. D. Kamble. "Spectrum Sensing Techniques in Cognitive Radio Cycle." International Journal of Engineering Trends and Technology 9, no. 1 (2014): 16–20. http://dx.doi.org/10.14445/22315381/ijett-v9p204.

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32

Soltanieh, Naeimeh, Yaser Norouzi, Yang Yang, and Nemai Chandra Karmakar. "A Review of Radio Frequency Fingerprinting Techniques." IEEE Journal of Radio Frequency Identification 4, no. 3 (2020): 222–33. http://dx.doi.org/10.1109/jrfid.2020.2968369.

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33

Formaggio, J. A. "Measuring Neutrino Masses Using Radio-Frequency Techniques." Journal of Physics: Conference Series 375, no. 4 (2012): 042005. http://dx.doi.org/10.1088/1742-6596/375/1/042005.

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Keller, John H., John C. Forster, and Michael S. Barnes. "Novel radio‐frequency induction plasma processing techniques." Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films 11, no. 5 (1993): 2487–91. http://dx.doi.org/10.1116/1.578597.

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35

Wiaux, Y., L. Jacques, G. Puy, A. M. M. Scaife, and P. Vandergheynst. "Compressed sensing imaging techniques for radio interferometry." Monthly Notices of the Royal Astronomical Society 395, no. 3 (2009): 1733–42. http://dx.doi.org/10.1111/j.1365-2966.2009.14665.x.

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Boucek, J. "Statistical mapping techniques applied to radio-immunoscintigraphy." Nuclear Medicine Communications 20, no. 4 (1999): 385. http://dx.doi.org/10.1097/00006231-199904000-00087.

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37

Leshem, Amir, Alle‐Jan van der Veen, and Albert‐Jan Boonstra. "Multichannel Interference Mitigation Techniques in Radio Astronomy." Astrophysical Journal Supplement Series 131, no. 1 (2000): 355–73. http://dx.doi.org/10.1086/317360.

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Stansfield, E. V., D. Harmer, and M. F. Kerrigan. "Speech processing techniques for HF radio security." IEE Proceedings I Communications, Speech and Vision 136, no. 1 (1989): 25. http://dx.doi.org/10.1049/ip-i-2.1989.0004.

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Buch, Kaushal D., Albert-Jan Boonstra, Gregory Hellbourg, Jonathon Kocz, Urvashi Rau, and Lincoln Greenhill. "Preface: “Interference Mitigation Techniques in Radio Astronomy”." Journal of Astronomical Instrumentation 08, no. 01 (2019): 1902001. http://dx.doi.org/10.1142/s225117171902001x.

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40

Rishbeth, H. "Radio techniques for probing the terrestrial ionosphere." Journal of Atmospheric and Terrestrial Physics 54, no. 7-8 (1992): 1088. http://dx.doi.org/10.1016/0021-9169(92)90080-5.

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41

CLEETUS, Ros Marie C., and Gnanadhas Josemin BALA. "Antenna Reconfiguration Techniques for Cognitive Radio: A Review." Walailak Journal of Science and Technology (WJST) 17, no. 12 (2020): 1412–31. http://dx.doi.org/10.48048/wjst.2021.8976.

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As the usage of wireless communicative devices is multiplying day by day, the need for the occupiable radio spectrum is also increasing. The inefficiency in the exploration of available licensed radio spectrum has rerouted the focus to effectively use it against the increasing demand. One of the available methods is to implement Cognitive Radio (CR) technology. The Cognitive Radio uses 2 antennas at a time in order to scan and to communicate with the available spectrum. While an Ultrawideband (UWB) antenna scans the spectrum for unused bands of frequencies, Narrowband (NB) antennas communicate

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42

Zhang, X., T. Piao, B. Peng, and X. Wang. "Radio Interference and Ejecting Techniques at Beijing Astronomical Observatory." Symposium - International Astronomical Union 196 (2001): 288–91. http://dx.doi.org/10.1017/s007418090016423x.

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In this paper, we first describe the situation of radio interference at the Miyun station in Beijing Astronomical Observatory, and then new developments in both hardware and software techniques of interference rejection for the Miyun Synthesis Radio Telescope (MSRT) are described.

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43

Haoxiang, Wang. "MULTI-OBJECTIVE OPTIMIZATION ALGORITHM FOR POWER MANAGEMENT IN COGNITIVE RADIO NETWORKS." Journal of Ubiquitous Computing and Communication Technologies 2019, no. 02 (2019): 97–109. http://dx.doi.org/10.36548/jucct.2019.2.004.

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The cognitive radio networks is an adaptive and intelligent radio network that is capable of automatically identifying the available channels in the spectrum that is wireless. Cognitive radios modify the parameters supporting the conveyance according to the needs of communication to enhance the operating radio behavior and avail a concurrent communication within the allotted spectrum band at one location. To improvise the parameter configuration the intelligent optimization techniques are been followed nowadays. The paper puts forth a multi-objective optimization algorithm (MO-OPA) for the pow

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44

Oosterloo, Tom. "Visualisation of Radio Data." Publications of the Astronomical Society of Australia 12, no. 2 (1995): 215–18. http://dx.doi.org/10.1017/s1323358000020294.

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AbstractRadio astronomy software has not quite kept up with recent developments for the display of, and interaction with, data. At the Australia Telescope National Facility we are trying to catch up by investigating how useful visualisation techniques and approaches like visual computing are for the reduction of radio data. I will discuss a few techniques that we have applied to radio data and comment briefly on their merits.

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45

Bello, Hilal, Zeng Xiaoping, Rosdiadee Nordin, and Jian Xin. "Advances and Opportunities in Passive Wake-Up Radios with Wireless Energy Harvesting for the Internet of Things Applications." Sensors 19, no. 14 (2019): 3078. http://dx.doi.org/10.3390/s19143078.

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Wake-up radio is a promising approach to mitigate the problem of idle listening, which incurs additional power consumption for the Internet of Things (IoT) wireless transmission. Radio frequency (RF) energy harvesting technique allows the wake-up radio to remain in a deep sleep and only become active after receiving an external RF signal to ‘wake-up’ the radio, thus eliminating necessary hardware and signal processing to perform idle listening, resulting in higher energy efficiency. This review paper focuses on cross-layer; physical and media access control (PHY and MAC) approaches on passive

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46

Montebugnoli, S., M. Boschi, F. Perini, P. Faccin, G. Brunori, and E. Pirazzini. "Large antenna array remoting using radio-over-fiber techniques for radio astronomical application." Microwave and Optical Technology Letters 46, no. 1 (2005): 48–54. http://dx.doi.org/10.1002/mop.20898.

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47

Anderson, G. E. "Discovering Radio Transients using ‘Triggered’ and ‘Targeted’ Observations." Proceedings of the International Astronomical Union 14, S339 (2017): 39–42. http://dx.doi.org/10.1017/s174392131800217x.

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AbstractAs the era of the Square Kilometre Array approaches, astronomers are investigating how to make good use of its facilities for studying radio transients. This talk presented two different methods for radio transient discovery – ‘triggered’ and ‘targeted’ observations – which can be used to supplement the blind survey approach. Both techniques focus on performing radio observations of sky regions in which we expect to find radio transients. ‘Triggered’ observations are obtained by telescopes capable of responding rapidly to transient alerts; they automatically repoint and begin collectin

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48

Benmammar, Badr. "Recent Advances on Artificial Intelligence in Cognitive Radio Networks." International Journal of Wireless Networks and Broadband Technologies 9, no. 1 (2020): 27–42. http://dx.doi.org/10.4018/ijwnbt.2020010102.

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Cognitive radio is a form of wireless communication that makes decisions about allocating and managing radio resources after detecting its environment and analyzing the parameters of its radio frequency environment. Decision making in cognitive radio can be based on optimization techniques. In this context, machine learning and artificial intelligence are to be used in cognitive radio networks in order to reduce complexity, obtain resource allocation in a reasonable time and improve the user's quality of service. This article presents recent advances on artificial intelligence in cognitive rad

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49

Tuberquia, Miguel, and Cesar Hernandez. "New Approaches in Cognitive Radios using Evolutionary Algorithms." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (2018): 1636. http://dx.doi.org/10.11591/ijece.v8i3.pp1636-1646.

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Cognitive radio has claimed a promising technology to exploit the spectrum in an ad hoc network. Due many techniques have become a topic of discussion on cognitive radios, the aim of this paper was developed a contemporary survey of evolutionary algorithms in Cognitive Radio. According to the art state, this work had been collected the essential contributions of cognitive radios with the particularity of base they research in evolutionary algorithms. The main idea was classified the evolutionary algorithms and showed their fundamental approaches. Moreover, this research will be exposed some of

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50

Gede Bagus, Anak Agung. "PERAN RADIO KOMUNITAS DWIJENDRA 107.7 FM DALAM PENGEMBANGAN SIARAN KEARIFAN LOKAL BALI." Jurnal Kajian Ilmu Komunikasi 18, no. 1 (2019): 1–8. http://dx.doi.org/10.46650/jkik.18.1.806.1-8.

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Radio community is one of the broadcasting institutions which legalized the existence of Broadcasting Law No.32 of 2002. According to Broadcasting Law No. 32 of 2002 article 13, providers of broadcast services (television and radio). The problem is how the role of the Dwijendra Radio Community 107.7 FM Broadcast Local Wisdom of Bali, the purpose of this study is to find out how the role of community radio as a medium for the development of local wisdom broadcasts. This research is descriptive qualitative, the subject of this research is the person in charge of broadcasting local wisdom broadca

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