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Journal articles on the topic 'Radio frequency'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

NECHIBVUTE, Action, Albert CHAWANDA, Nicholas TARUVINGA, and Pearson LUHANGA. "Radio Frequency Energy Harvesting Sources." Acta Electrotechnica et Informatica 17, no. 4 (2017): 19–27. http://dx.doi.org/10.15546/aeei-2017-0030.

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2

Jayati, Ari Endang, Wahyu Minarti, and Sri Heranurweni. "Analisa Teknis Penetapan Kanal Frekuensi Radio Untuk Lembaga Penyiaran Radio Komunitas Wilayah Kabupaten Batang." Jurnal ELTIKOM 5, no. 2 (2021): 73–80. http://dx.doi.org/10.31961/eltikom.v5i2.361.

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The radio frequency spectrum constitutes a limited and strategic natural resource with high economic value, so it must be managed effectively and efficiently to obtain optimal benefits by observing national and international legal principles. Radio Community Broadcasting Institution uses limited frequency allocation in three channels, namely, in the frequency channels 202 (107.7 MHz), 203 (107.8 MHz), and 204 (107.9 MHz), with limited transmit power and area coverage. The problem in this research is the frequency overlap with other community radios in an area. The issue raised is whether it is

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3

Idubor, S.O., K.O. Ogbeide, and O. Okosun. "Development of a Radio Frequency Rectifier Circuit for Radio Frequency Energy Harvesting." Nigerian Research Journal of Engineering and Environmental Sciences 9, no. 2 (2024): 922–29. https://doi.org/10.5281/zenodo.14581970.

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<em>The aim of this work is to develop a radio frequency rectifier circuit for radio frequency energy harvesting that can produce voltage from ambient radio frequency (RF) signal to energize low powered sensor devices or Internet of Things networks. </em><em>The radio frequency rectifier was first designed and simulated in Proteus CAD software environment in other to assess the circuits theoretical performance. The designed circuit was then developed on a vero board and the power conversion efficiency of the circuit was evaluated. The rectifier circuit was simulated, and its performance evalua

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4

Sackenheim, Maureen McDaniel. "Radio Frequency Ablation." Journal of Diagnostic Medical Sonography 19, no. 2 (2003): 88–92. http://dx.doi.org/10.1177/8756479303251097.

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5

Dondelinger, Robert M. "Radio Frequency Identification." Biomedical Instrumentation & Technology 44, no. 1 (2010): 44–47. http://dx.doi.org/10.2345/0899-8205-44.1.44.

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6

Wyld, David C. "Radio Frequency Identification." Cornell Hospitality Quarterly 49, no. 2 (2008): 134–44. http://dx.doi.org/10.1177/1938965508316147.

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7

Scheck, Anne. "Radio Frequency Identification." Emergency Medicine News 28, no. 3 (2006): 34–35. http://dx.doi.org/10.1097/01.eem.0000292061.54727.06.

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8

Ekers, R. D., and J. F. Bell. "Radio Frequency Interference." Symposium - International Astronomical Union 199 (2002): 498–505. http://dx.doi.org/10.1017/s0074180900169669.

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We describe the nature of the interference challenges facing radio astronomy in the next decade. These challenges will not be solved by regulation only, negotiation and mitigation will become vital. There is no silver bullet for mitigating against interference. A successful mitigation approach is most likely to be a hierarchical or progressive approach throughout the telescope and signal conditioning and processing systems. We summarise some of the approaches, including adaptive systems.

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9

Westra, Bonnie L. "Radio Frequency Identification." AJN, American Journal of Nursing 109, no. 3 (2009): 34–36. http://dx.doi.org/10.1097/01.naj.0000346925.67498.a4.

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10

Rajaraman, V. "Radio frequency identification." Resonance 22, no. 6 (2017): 549–75. http://dx.doi.org/10.1007/s12045-017-0498-6.

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11

., Manishkumar R. Solanki. "RADIO FREQUENCY IDENTIFICATION." International Journal of Research in Engineering and Technology 06, no. 01 (2017): 129–33. http://dx.doi.org/10.15623/ijret.2017.0601024.

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12

Rao, Raghavendra. "RADIO FREQUENCY IDENTIFICATION." International Journal of Innovative Research in Advanced Engineering 09, no. 12 (2022): 489–92. http://dx.doi.org/10.26562/ijirae.2022.v0912.05.

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Radio-frequency identification (RFID) is a technology that uses communication via electromagnetic waves to exchange data between a terminal and an electronic tag attached to an object, for the purpose of identification and tracking. Some tags can be read from several meters away and beyond the line of sight of the reader. Radio-frequency identification involves interrogators (also known as readers), and tags (also known as labels). Most RFID tags contain at least two parts. One is an integrated circuit for storing and processing information, modulating and demodulating a radio-frequency (RF) s

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13

Ayun, Moshe Ben, Arye Schwarzbaum, Seva Rosenberg, Monika Pinchas, and Shmuel Sternklar. "Photonic radio frequency phase-shift amplification by radio frequency interferometry." Optics Letters 40, no. 21 (2015): 4863. http://dx.doi.org/10.1364/ol.40.004863.

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14

Mericli, Benjamin S., Ajay Ogirala, Peter J. Hawrylak, and Marlin H. Mickle. "A Passive Radio Frequency Amplifier for Radio Frequency Identification Tags." Journal of Low Power Electronics 7, no. 3 (2011): 453–58. http://dx.doi.org/10.1166/jolpe.2011.1139.

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15

Li, Wei, Mingjian Ju, Qinghui Li, et al. "Squeezing-enhanced resolution of radio-frequency signals." Chinese Optics Letters 22, no. 7 (2024): 072701. http://dx.doi.org/10.3788/col202422.072701.

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16

Piccardo, Marco, Michele Tamagnone, Benedikt Schwarz, et al. "Radio frequency transmitter based on a laser frequency comb." Proceedings of the National Academy of Sciences 116, no. 19 (2019): 9181–85. http://dx.doi.org/10.1073/pnas.1903534116.

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Since the days of Hertz, radio transmitters have evolved from rudimentary circuits emitting around 50 MHz to modern ubiquitous Wi-Fi devices operating at gigahertz radio bands. As wireless data traffic continues to increase, there is a need for new communication technologies capable of high-frequency operation for high-speed data transfer. Here, we give a proof of concept of a compact radio frequency transmitter based on a semiconductor laser frequency comb. In this laser, the beating among the coherent modes oscillating inside the cavity generates a radio frequency current, which couples to t

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17

Dallacasa, Daniele. "High Frequency Peakers." Publications of the Astronomical Society of Australia 20, no. 1 (2003): 79–84. http://dx.doi.org/10.1071/as03005.

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AbstractThere is quite a clear anticorrelation between the intrinsic peak frequency and the overall radio source size in compact steep spectrum (CSS) and gigahertz peaked spectrum (GPS) radio sources. This feature is interpreted in terms of synchrotron self-absorption (although free–free absorption may play a role as well) of the radiation emitted by a small radio source which is growing within the inner region of the host galaxy. This leads to the hypothesis that these objects are young and that the radio source is still developing/expanding within the host galaxy itself.Very young radio sour

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18

Keenan, Jan. "Radio frequency catheter ablation." Nursing Standard 9, no. 10 (1994): 50–51. http://dx.doi.org/10.7748/ns.9.10.50.s50.

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19

Truszkiewicz, Adrian, David Aebisher, Zuzanna Bober, Łukasz Ożóg, and Dorota Bartusik-Aebisher. "Radio Frequency MRI coils." European Journal of Clinical and Experimental Medicine 18, no. 1 (2020): 24–27. http://dx.doi.org/10.15584/ejcem.2020.1.5.

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Introduction. Magnetic Resonance Imaging (MRI) coils technology is a powerful improvement for clinical diagnostics. This includes opportunities for mathematical and physical research into coil design. Aim. Here we present the method applied to MRI coil array designs. Material and methods. Analysis of literature and self-research. Results. The coils that emit the radiofrequency pulses are designed similarly. As much as possible, they deliver the same strength of radiofrequency to all voxels within their imaging volume. Surface coils on the other hand are usually not embedded in cylindrical surf

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20

WANG, XIAOBIN. "RADIO FREQUENCY MAGNETIZATION NONVOLATILITY." SPIN 02, no. 03 (2012): 1240009. http://dx.doi.org/10.1142/s2010324712400097.

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Long time magnetization thermal switching under small amplitude high frequency excitation is analyzed. Approaches based upon conventional time-dependent energy barrier are not sufficient to describe magnetization nonvolatility under GHz excitations. Methods based upon large angle nonlinear magnetization dynamics are developed for both coherent and noncoherent magnetization switching. This dynamic approach is not only important for fundamental understanding of magnetization dynamics under combined radio frequency excitations and thermal fluctuations, but also critical for practical design of em

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21

Wilson, J. F. "Computer radio-frequency interference." Electronics and Power 31, no. 2 (1985): 112. http://dx.doi.org/10.1049/ep.1985.0092.

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22

Kaye, A., J. Jacquinot, P. Lallia, and T. Wade. "Radio-Frequency Heating System." Fusion Technology 11, no. 1 (1987): 203–34. http://dx.doi.org/10.13182/fst11-203-234.

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23

Schmidt, D. R., C. S. Yung, and A. N. Cleland. "Nanoscale radio-frequency thermometry." Applied Physics Letters 83, no. 5 (2003): 1002–4. http://dx.doi.org/10.1063/1.1597983.

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24

Jones, Alex K., Swapna Dontharaju, Shenchih Tung, et al. "Radio frequency identification prototyping." ACM Transactions on Design Automation of Electronic Systems 13, no. 2 (2008): 1–22. http://dx.doi.org/10.1145/1344418.1344425.

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25

Rundh, Bo. "Radio frequency identification (RFID)." Marketing Intelligence & Planning 26, no. 1 (2008): 97–114. http://dx.doi.org/10.1108/02634500810847174.

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26

Roome, S. J. "Digital radio frequency memory." Electronics & Communications Engineering Journal 2, no. 4 (1990): 147. http://dx.doi.org/10.1049/ecej:19900035.

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27

Padamsee, Hasan S. "Superconducting Radio-Frequency Cavities." Annual Review of Nuclear and Particle Science 64, no. 1 (2014): 175–96. http://dx.doi.org/10.1146/annurev-nucl-102313-025612.

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28

Hingley, Martin, Susan Taylor, and Charlotte Ellis. "Radio frequency identification tagging." International Journal of Retail & Distribution Management 35, no. 10 (2007): 803–20. http://dx.doi.org/10.1108/09590550710820685.

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29

Widmann, W. D., W. W. L. Glenn, L. Eisenberg, and A. Mauro. "RADIO-FREQUENCY CARDIAC PACEMAKER*." Annals of the New York Academy of Sciences 111, no. 3 (2006): 992–1006. http://dx.doi.org/10.1111/j.1749-6632.1964.tb53169.x.

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30

Kuzikov, S. V., A. V. Savilov, and A. A. Vikharev. "Flying radio frequency undulator." Applied Physics Letters 105, no. 3 (2014): 033504. http://dx.doi.org/10.1063/1.4890586.

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31

Margaryan, A., R. Carlini, R. Ent, et al. "Radio frequency picosecond phototube." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 566, no. 2 (2006): 321–26. http://dx.doi.org/10.1016/j.nima.2006.07.035.

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32

Tucker, Robert D., Chester E. Sievert, J. A. Vennes, and Stephen E. Silvis. "Endoscopic radio frequency electrosurgery." Gastrointestinal Endoscopy 36, no. 4 (1990): 412–13. http://dx.doi.org/10.1016/s0016-5107(90)71082-6.

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33

Melski, Adam, Lars Thoroe, and Matthias Schumann. "RFID – Radio Frequency Identification." Informatik-Spektrum 31, no. 5 (2008): 469–73. http://dx.doi.org/10.1007/s00287-008-0267-8.

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34

Roberts, C. M. "Radio frequency identification (RFID)." Computers & Security 25, no. 1 (2006): 18–26. http://dx.doi.org/10.1016/j.cose.2005.12.003.

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35

Zeibig, Stefan. "Radio Frequency Identification (RFID)." Controlling 18, no. 1 (2006): 51–52. http://dx.doi.org/10.15358/0935-0381-2006-1-51.

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36

Ivannikov, V. I., Yu D. Chernousov, and I. V. Shebolaev. "Radio-frequency power compressor." Technical Physics 44, no. 1 (1999): 108–9. http://dx.doi.org/10.1134/1.1259261.

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37

Dobson, Tatyana, and Elle Todd. "Radio frequency identification technology." Computer Law & Security Review 22, no. 4 (2006): 313–15. http://dx.doi.org/10.1016/j.clsr.2006.05.008.

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38

Wiltshire, M. C. K. "Radio frequency (RF) metamaterials." physica status solidi (b) 244, no. 4 (2007): 1227–36. http://dx.doi.org/10.1002/pssb.200674511.

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39

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

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40

Krupar, Vratislav, Oksana Kruparova, Adam Szabo, et al. "Radial Variations in Solar Type III Radio Bursts." Astrophysical Journal Letters 967, no. 2 (2024): L32. http://dx.doi.org/10.3847/2041-8213/ad4be7.

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Abstract Type III radio bursts are generated by electron beams accelerated at reconnection sites in the corona. This study, utilizing data from the Parker Solar Probe’s first 17 encounters, closely examines these bursts down to 13 solar radii. A focal point of our analysis is the near-radial alignment (within 5°) of the Parker Solar Probe, STEREO-A, and Wind spacecraft relative to the Sun. This alignment, facilitating simultaneous observations of 52 and 27 bursts by STEREO-A and Wind respectively, allows for a detailed differentiation of radial and longitudinal burst variations. Our observatio

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41

Franklin, R. N. "The dual frequency radio-frequency sheath revisited." Journal of Physics D: Applied Physics 36, no. 21 (2003): 2660–61. http://dx.doi.org/10.1088/0022-3727/36/21/010.

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42

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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43

Fridman, P. "Radio frequency interference rejection in radio astronomy receivers." Astronomical & Astrophysical Transactions 19, no. 3-4 (2000): 625–45. http://dx.doi.org/10.1080/10556790008238609.

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44

Swagarya Lawrence Boaz, Godbless. "Designing of UHF- Radio Frequency Identification (RFID) Antenna." International Journal of Scientific Engineering and Research 1, no. 3 (2013): 33–35. https://doi.org/10.70729/1131106.

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45

Santana-Cruz, Rene Francisco, Martin Moreno, Daniel Aguilar-Torres, Román Arturo Valverde-Domínguez, and Rubén Vázquez-Medina. "Signal Preprocessing for Enhanced IoT Device Identification Using Support Vector Machine." Future Internet 17, no. 6 (2025): 250. https://doi.org/10.3390/fi17060250.

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Device identification based on radio frequency fingerprinting is widely used to improve the security of Internet of Things systems. However, noise and acquisition inconsistencies in raw radio frequency signals can affect the effectiveness of classification, identification and authentication algorithms used to distinguish Bluetooth devices. This study investigates how the RF signal preprocessing techniques affect the performance of a support vector machine classifier based on radio frequency fingerprinting. Four options derived from an RF signal preprocessing technique are evaluated, each of wh

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46

Ando, A., A. Komuro, T. Matsuno, K. Tsumori, and Y. Takeiri. "Radio frequency ion source operated with field effect transistor based radio frequency system." Review of Scientific Instruments 81, no. 2 (2010): 02B107. http://dx.doi.org/10.1063/1.3279306.

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47

Kim, Yong-Jin, and Chang-Won Jung. "Design of mobile Radio Frequency Identification (m-RFID) antenna." Journal of the Korea Academia-Industrial cooperation Society 10, no. 12 (2009): 3608–13. http://dx.doi.org/10.5762/kais.2009.10.12.3608.

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48

Jallod, Uday E., Hareth S. Mahdi, and Kamal M. Abood. "Simulation of Small Radio Telescope Antenna Parameters at Frequency of 1.42 GHz." Iraqi Journal of Physics (IJP) 20, no. 1 (2022): 37–47. http://dx.doi.org/10.30723/ijp.v20i1.726.

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The paper presents an overview of theoretical aspects of small radio telescope antenna parameters. The basic parameters include antenna beamwidth, antenna gain, aperture efficiency, and antenna temperature. These parameters should be carefully studied since they have vital effects on astronomical radio observations. The simulations of antenna parameters were carried out to assess the capability and the efficiency of small radio telescopes to observe a point source at a specific frequency. Two-dimensional numerical simulations of a uniform circular aperture antenna are implemented at different

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49

Chen, Dan Qiang, Guo Hua Cao, Hui Lin Fan, Xue Liang Bao, and Hao Peng Wang. "Research on Detecting Radio Amendatory Channel." Applied Mechanics and Materials 241-244 (December 2012): 14–18. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.14.

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Radio amendatory channel is used in command guidance for missile, whose working state has direct influence on the precision of a missile. Therefore, it’s necessary to design a radio frequency detector for cycle detection of radio amendatory channel. After analyzing operating principle of the radio amendatory channel, the paper proposes a detecting program, introduces hardware and software design of radio frequency detector including high frequency receiving module, intermediate frequency receiving module and information processing module. The radio frequency detector has been applied in detect

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50

Shuaibu-Sadiq, Munirah, and F. I. Anyasi. "Analysis of radio frequency spectrum usage using cognitive radio." Journal of Electrical, Control and Telecommunication Research 1 (July 29, 2020): 1–8. http://dx.doi.org/10.37121/jectr.vol1.111.

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This paper presents the analysis of radio frequency (RF) spectrum usage using cognitive radio. The aim was to determine the unused spectrum frequency bands for efficiently utilization. A program was written to reuse a range of vacant frequency with different model element working together to produce a spectrum sensing in MATLAB/Simulink environment. The developed Simulink model was interfaced with a register transfer level - software defined radio, which measures the estimated noise power of the received signal over a given time and bandwidth. The threshold estimation performed generates a 1\0

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