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Journal articles on the topic 'Radio techniques'

Author: Grafiati

Published: 6 September 2023

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1

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

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2

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 (June 15, 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 (November 14, 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 such as electronic passports and RFID-embedded credit cards. However, RFID technology also raises a number of concerns regarding privacy and security.

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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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5

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 (February 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 (February 29, 2008): 293–324. http://dx.doi.org/10.1007/s11277-008-9473-6.

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9

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

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10

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

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11

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

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12

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

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13

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 (March 1993): 51–54. http://dx.doi.org/10.1080/00063659309477128.

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14

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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15

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

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16

Najib Husain, M. Ishak Syahadat, and Dewi Anggraini. "BAHASA LOKAL SULAWESI TENGGARA DALAM DUNIA PENYIARAN." Journal Publicuho 6, no. 2 (July 31, 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 notes and the results of interviews with informants. Again, the collected data is sorted and then selected using triangulation techniques. The use of local languages in the broadcasting world, from the results of research that has been carried out by community radios in Southeast Sulawesi, namely Suara Marannu Radio on Saponda Island, Pasihuang FM Radio in Mekar Village, Soropia District which uses the Bajo language, Talombo FM Radio on Tomia Wakatobi Island which uses the Indonesian language Tomia, and Sinar Lapandewa Radio in Buton which uses Cia-Cia language. Use of Local Languages in broadcasting activities. Efforts made by community radio managers to oblige broadcasters to use regional languages are nothing but a filter against the presence of slang, Alay and Jakarta accents which are widely used by broadcasters in greeting young people in Indonesia which will certainly cause the next generation to be foreign. in his own language.

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17

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 (April 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 learning & optimization techniques like neural networks, fuzzy logic, genetic algorithm & swarm intelligence. The cognitive engine behind the radio combines the sensing, learning, switching, and optimization algorithms to control & adapt the radio system from the physical layer to the top of the communication stack. This paper presents a critical review on different soft computing approaches applied over the cognitive radio issues & also points out different research directions over it.

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18

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 (March 24, 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 selected.

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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 in the form of accurate and statistically significant characterization of the radio environment, empirical and theoretical improvement of over-the-horizon propagation models, and timely measurements of spurious radiation falling in the protected radio astronomy bands.Finally, credibility of our spectrum management effort can only be maintained by making sure that local radiation under the control of our radio observatories is in compliance with the field strength limits of Recommendation ITU-R R.A.769. This requires sensitive radiation measurements and often shielding of digital equipment, microwave ovens, test equipment, local oscillators, etc.

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20

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 (November 16, 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 that are not commonly occupied by licensed users. Cognitive radios promote open spectrum allocation which is a clear departure from habitual command and control allocation process for radio spectrum usage. In short, it permits the formation of â€œinfrastructure-lessâ€ joint network clusters which is called Cognitive Radio Networks (CRN). Conversely the spectrum sensing techniques are needed to detect free spectrum. In this paper, different spectrum sensing techniques are analyzed.

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21

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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22

Gramigna, Edoardo. "Calibration Techniques for Studying Venus and Mars Atmospheres." Aerotecnica Missili & Spazio 99, no. 4 (November 9, 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 trajectory, and plasma noise. Any uncalibrated effects will bias the retrieval of atmospheric properties. A comparison of the occultation experiments between Venus and Mars is presented, both from the engineering and scientific point of view, through the analysis of Venus Express and Mars Global Surveyor (MGS) occultations data, highlighting stronger calibrations required for VEX, the extreme, hostile, thick Venus’ atmosphere, and a friendly, thin Mars’ atmosphere. This investigation analyzes Venus Express data recorded by the NASA Deep Space Network in 2014, and the results are compatible to previous studies of Venus atmosphere with VEX between 2006 and 2009.

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23

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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24

ShahnawazShaikh, Md, and Kamlesh Gupta. "Analysis of Cognitive Radio Spectrum Sensing Techniques." International Journal of Computer Applications 102, no. 12 (September 18, 2014): 1–7. http://dx.doi.org/10.5120/17864-8805.

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25

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 (April 2010): 130–39. http://dx.doi.org/10.1109/jcn.2010.6391369.

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26

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

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27

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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28

Kokare, Sheetal, and R. D. Kamble. "Spectrum Sensing Techniques in Cognitive Radio Cycle." International Journal of Engineering Trends and Technology 9, no. 1 (March 25, 2014): 16–20. http://dx.doi.org/10.14445/22315381/ijett-v9p204.

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29

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 (September 2020): 222–33. http://dx.doi.org/10.1109/jrfid.2020.2968369.

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30

Formaggio, J. A. "Measuring Neutrino Masses Using Radio-Frequency Techniques." Journal of Physics: Conference Series 375, no. 4 (July 30, 2012): 042005. http://dx.doi.org/10.1088/1742-6596/375/1/042005.

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31

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 (September 1993): 2487–91. http://dx.doi.org/10.1116/1.578597.

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32

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 (May 21, 2009): 1733–42. http://dx.doi.org/10.1111/j.1365-2966.2009.14665.x.

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33

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

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34

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 (November 2000): 355–73. http://dx.doi.org/10.1086/317360.

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35

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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36

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 (March 2019): 1902001. http://dx.doi.org/10.1142/s225117171902001x.

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37

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

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38

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 (December 1, 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 with these sensed unused bands. The technique of Reconfiguration in antennas is found to have a major role in implementing these UWB/NB antennas for CRs. Here in this paper, a survey is conducted on various reconfiguration techniques in antennas to build up a CR system. Each technique is studied in terms of the compactness, novelty, coverage of frequencies, and losses associated with the antenna. Finally, all the techniques are compared on the basis of their merits and demerits in this work.

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39

Oosterloo, Tom. "Visualisation of Radio Data." Publications of the Astronomical Society of Australia 12, no. 2 (August 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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40

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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41

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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42

Haoxiang, Wang. "MULTI-OBJECTIVE OPTIMIZATION ALGORITHM FOR POWER MANAGEMENT IN COGNITIVE RADIO NETWORKS." Journal of Ubiquitous Computing and Communication Technologies 2019, no. 02 (December 25, 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 power management in the cognitive radio networks. The proposed method utilizes the hybridized evolutionary algorithm to reduce the power consumption by minimizing the delay in the communication, intervention and the error rate of the packets. The validation of the proposed method is done to using the network simulator-2 to evince the capabilities of the proposed MO-OPA.

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43

Anderson, G. E. "Discovering Radio Transients using ‘Triggered’ and ‘Targeted’ Observations." Proceedings of the International Astronomical Union 14, S339 (November 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 collecting data within minutes of the alert being given. ‘Targeted’ observational techniques involve radio monitoring of specific sources or regions such as nearby, face-on galaxies, globular clusters, and the Galactic Plane. Such observations are sensitive to transient radio jets from black holes accreting at, or above, the Eddington limit, with the additional benefit of providing many potential sources within a single field of view. Both observing strategies illustrate important techniques for radio transient discovery that can be employed by the SKA.

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44

P. K., Nayana. "Implementation of Spectrum Detection Techniques in Cognitive Radio." International Journal for Research in Applied Science and Engineering Technology V, no. VIII (August 30, 2017): 1245–49. http://dx.doi.org/10.22214/ijraset.2017.8176.

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45

Ali, Amjad, Muddesar Iqbal, Adeel Baig, and Xingheng Wang. "Routing Techniques In Cognitive Radio Networks: A Survey." International Journal of Wireless & Mobile Networks 3, no. 3 (June 30, 2011): 96–110. http://dx.doi.org/10.5121/ijwmn.2011.3308.

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46

Pettinelli, Elena, Pier Matteo Barone, Elisabetta Mattei, and Sebastian Emanuel Lauro. "Radio wave techniques for non-destructive archaeological investigations." Contemporary Physics 52, no. 2 (March 2011): 121–30. http://dx.doi.org/10.1080/00107514.2010.545208.

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47

Fernandez-Rodriguez, Félix Omar, and Edgar Sanchez-Sinencio. "Advanced Quenching Techniques for Super-Regenerative Radio Receivers." IEEE Transactions on Circuits and Systems I: Regular Papers 59, no. 7 (July 2012): 1533–45. http://dx.doi.org/10.1109/tcsi.2011.2177010.

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48

Gharpurey, Ranjit. "Linearity Enhancement Techniques in Radio Receiver Front-Ends." IEEE Transactions on Circuits and Systems I: Regular Papers 59, no. 8 (August 2012): 1667–79. http://dx.doi.org/10.1109/tcsi.2012.2206507.

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49

Shinoda, A. A., and M. D. Yacoub. "Combined Channel Allocation Techniques in Mobile Radio Systems." Journal of Communication and Information Systems 11, no. 1 (December 30, 1996): 31–40. http://dx.doi.org/10.14209/jcis.1996.5.

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50

Wiaux, Y., G. Puy, Y. Boursier, and P. Vandergheynst. "Spread spectrum for imaging techniques in radio interferometry." Monthly Notices of the Royal Astronomical Society 400, no. 2 (December 1, 2009): 1029–38. http://dx.doi.org/10.1111/j.1365-2966.2009.15519.x.

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