Relevant bibliographies by topics / Radio frequency spectrum analyzer

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Radio frequency spectrum analyzer'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Radio frequency spectrum analyzer"

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Lavielle, V., I. Lorgeré, J. L. Le Gouët, S. Tonda, and D. Dolfi. "Wideband versatile radio-frequency spectrum analyzer." Optics Letters 28, no. 6 (March 15, 2003): 384. http://dx.doi.org/10.1364/ol.28.000384.

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Corcoran, Bill, Trung D. Vo, Mark D. Pelusi, Christelle Monat, Dan-Xia Xu, Adam Densmore, Rubin Ma, Siegfried Janz, David J. Moss, and Benjamin J. Eggleton. "Silicon nanowire based radio-frequency spectrum analyzer." Optics Express 18, no. 19 (September 7, 2010): 20190. http://dx.doi.org/10.1364/oe.18.020190.

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Ferrera, Marcello, Christian Reimer, Alessia Pasquazi, Marco Peccianti, Matteo Clerici, Lucia Caspani, Sai T. Chu, Brent E. Little, Roberto Morandotti, and David J. Moss. "CMOS compatible integrated all-optical radio frequency spectrum analyzer." Optics Express 22, no. 18 (August 28, 2014): 21488. http://dx.doi.org/10.1364/oe.22.021488.

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Ménager, Loïc, Ivan Lorgeré, Jean-Louis Le Gouët, Daniel Dolfi, and Jean-Pierre Huignard. "Demonstration of a radio-frequency spectrum analyzer based on spectral hole burning." Optics Letters 26, no. 16 (August 15, 2001): 1245. http://dx.doi.org/10.1364/ol.26.001245.

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Lavielle, V., F. De Seze, I. Lorgeré, and J. L. Le Gouët. "Wideband radio frequency spectrum analyzer: improved design and experimental results." Journal of Luminescence 107, no. 1-4 (May 2004): 75–89. http://dx.doi.org/10.1016/j.jlumin.2003.12.028.

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Chen, Liao, Yuhua Duan, Haidong Zhou, Xi Zhou, Chi Zhang, and Xinliang Zhang. "Real-time broadband radio frequency spectrum analyzer based on parametric spectro-temporal analyzer (PASTA)." Optics Express 25, no. 8 (April 13, 2017): 9416. http://dx.doi.org/10.1364/oe.25.009416.

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Ma, Ming, Rhys Adams, and Lawrence R. Chen. "Integrated Photonic Chip Enabled Simultaneous Multichannel Wideband Radio Frequency Spectrum Analyzer." Journal of Lightwave Technology 35, no. 13 (July 1, 2017): 2622–28. http://dx.doi.org/10.1109/jlt.2017.2694003.

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Sabur, Fatmawati, and Ucok Sinaga. "Design Trainer Analysis Spectrum Analyzer Based on Raspberry Python and Register Transfer Level - Software Defined Radio." Airman: Jurnal Teknik dan Keselamatan Transportasi 3, no. 2 (February 4, 2021): 1–8. http://dx.doi.org/10.46509/ajtkt.v3i2.69.

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communication network. However, the high purchase price of a Spectrum Analyzer means that not everyone can afford it. One solution to overcome this problem is to make a piece of hardware capable of performing the same performance as a Spectrum Analyzer but at a relatively cheaper price. Prototype Spectrum Analyzer to be implemented is a device capable of displaying the spectrum of a signal in a certain frequency range. This engineering was carried out from July to October 2020 at the Makassar Aviation Polytechnic Campus and testing tools with a comparison tool was carried out at Otban Region V Makassar. The technique or method used in data collection is the library method by collecting some written data from books, literature, and tutorials on the internet, as reference material and then analyzing solutions that can be taken in solving problems. From the results of tests carried out by using RTL-SDR on the Single Board Computer (SBC), Raspberry pi can display the frequency spectrum whether it is done singly or applied to the network so that it can be used as a learning medium for wireless technology practice or other materials that measure frequency From sergi, the performance of the trainer spectrum analyzer with the use of raspberry pi as a device for processing radio / wireless signals is quite good at utilization with CLI mode (command line interface) but is relatively slow when used on the desktop as a portable spectrum analyzer that can be used as a learning medium
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Thohari, Afandi Nur Aziz, and Agfianto Eko Putra. "Rancang Bangun Spectrum Analyzer Menggunakan Fast Fouier Transform Pada Single Board Computer." IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) 7, no. 1 (April 30, 2017): 71. http://dx.doi.org/10.22146/ijeis.16417.

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Spectrum analyzer is an instrument device to measure the magnitude of the frequency and the power of signal. It has many benefits, such as used for testing telecommunication devices, determining the allocation of unused frequencies and also for practicum in schools or universities. However, because of these many benefits, the price of this signal measuring equipment soared in the market.As an alternative, a device that can serve as spectrum analyzer yet has an affordable price is invented in the form of the prototype of spectrum analyzer built using a single board computer by applying a fast Fourier transform algorithm. Feedback from the prototype is in the form of radio signal captured using RTL-SDR.The test results showed that the range of frequencies that can be displayed by the prototype is 24 MHz to 1.769 MHz. Then the test results of fast Fourier transform computing on N points showed that the prototype can work smoothly using the N from 512 to 32.768 points. The use of N more than 32.768 points will cause CPU and disk memory overloaded and lead to a slow performance. Finally, comparison of the levels of spectrum was performed using spectrum analyzer Anritsu MS2720T. As a result, it is known that prototype can be used to show the location of the frequency spectrum of the radio signal appropriately.
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Duan, Yuhua, Liao Chen, Lei Zhang, Xi Zhou, Chi Zhang, and Xinliang Zhang. "Temporal radio-frequency spectrum analyzer, based on asynchronous optical sampling assisted temporal convolution." Optics Express 26, no. 16 (July 30, 2018): 20735. http://dx.doi.org/10.1364/oe.26.020735.

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Dissertations / Theses on the topic "Radio frequency spectrum analyzer"

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Chipaux, M., L. Toraille, C. Larat, L. Morvan, S. Pezzagna, Jan Berend Meijer, and T. Debuisschert. "Wide bandwidth instantaneous radio frequency spectrum analyzer based on nitrogen vacancy centers in diamond." AIP Publishing, 2015. https://ul.qucosa.de/id/qucosa%3A31236.

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We propose an original analog method to perform instantaneous and quantitative spectral analysis of microwave signals. An ensemble of nitrogen-vacancy (NV) centers held in a diamond plate is pumped by a 532 nm laser. Its photoluminescence is imaged through an optical microscope and monitored by a digital camera. An incoming microwave signal is converted into a microwave field in the area of the NV centers by a loop shaped antenna. The resonances induced by the magnetic component of that field are detected through a decrease of the NV centers photoluminescence. A magnetic field gradient induces a Zeeman shift of the resonances and transforms the frequency information into spatial information, which allows for the simultaneous analysis of the microwave signal in the entire frequency bandwidth of the device. The time dependent spectral analysis of an amplitude modulated microwave signal is demonstrated over a bandwidth of 600 MHz, associated to a frequency resolution of 7MHz , and a refresh rate of 4 ms. With such integration time, a field of a few hundreds of lW can be detected. Since the optical properties of NV centers can be maintained even in high magnetic field, we estimate that an optimized device could allow frequency analysis in a range of 30 GHz, only limited by the amplitude of the magnetic field gradient. In addition, an increase of the NV centers quantity could lead both to an increase of the microwave sensitivity and to a decrease of the minimum refresh rate down to a few ls.
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Soares, Vitor Miguel Melo. "Handled RF spectrum analyser using Arduino." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12813.

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Mestrado em Engenharia Eletrónica e Telecomunicações
Radio frequency term refers to the electromagnetic spectrum bandwidth used to transmission of electromagnetic signals trough free space. The human knowledge about this phenomena turns possible to set wireless communications between electronic devices. The analysis of that spectrum is demanding in order to achieve proper communications between those devices. Whit spectrum analysers is possible to observe some physical characteristics of the communication. The aim of this document is to furnish information about the project, design and implementation of a spectrum analyser using open source digital control technology, Arduino.
Rádio-frequência é o termo utilizado para designar a gama de frequêcias utilizadas na transmissão de sinais eletromagnéticos, através do meio livre. O domínio deste fenómeno possibilita a que dispositivos eletrónicos possam comunicar sem fios. A análise do espectro eletromagnético utilizado pelos diferentes dispositivos que coabitam no dia a dia, é essencial para possibilitar o correcto funcionamento de todos. Para tal, são utilizados analisadores de espectro, que com os quais se pode monitorizar algumas das características físicas das comunicações sem fios. O objetivo deste trabalho é documentar o projeto, implementação e testes de validação de um analisador de espectros portátil para rádio-frequência utilizando tecnologia de controlo digital opensource, Arduino.
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Ramazanali, Hawar. "Characterization and evaluation of ZigBee modules." Thesis, Linköping University, Department of Science and Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6508.

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This thesis work started with an extensive literature study in several areas, ZigBee, instruments and measuring methods. The knowledge was implemented in use with the ZigBee modules from the two manufacturers ITN and Chipcon along with ZigBee Software Stack. Measuring methods were developed and software in ZigBee software Stack was developed to use in the ZigBee modules for the measurements. Developing measurement methods and performing measurements was an iterative process for the different measurements. The aim was to characterize the ZigBee modules in the most important areas during the extent of this master thesis work.

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Pragasam, Ravi L. "The MC68701 based spectrum analyzer." Thesis, Kansas State University, 1985. http://hdl.handle.net/2097/9872.

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Sivarajan, Kumar N. McEliece Robert J. McEliece Robert J. "Spectrum efficient frequency assignment for cellular radio /." Diss., Pasadena, Calif. : California Institute of Technology, 1990. http://resolver.caltech.edu/CaltechETD:etd-11082007-105043.

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Wang, Jun. "Multitaper spectrum based detection for spectrum sensing in cognitive radio networks /." access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?mphil-ee-b23750480f.pdf.

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Thesis (M.Phil.)--City University of Hong Kong, 2009.
"Submitted to Department of Electronic Engineering in partial fulfillment of the requirements for the degree of Master of Philosophy." Includes bibliographical references (leaves 66-74)
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Jia, Juncheng. "Cognitive radio networks for dynamic spectrum management /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20JIA.

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Colice, Christopher Max. "Transformations in optics for radio-frequency spectrum analysis." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3256393.

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Nolan, Andrew John. "Frequency assignment and spectrum trading for radio services." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403978.

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Gurr, J. Richard, Anthony Auvil, and Jim Rizzo. "WIDE-BAND RADIO FREQUENCY (RF) SOURCE SURVEILLANCE." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/607394.

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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California
Reduction in available radio frequency (RF) spectrum for use in aircraft testing has steadily increased the probability of interference. The increase in users and required bandwidth generates requirements for increased monitoring and active management of the RF spectrum. The detection of background RF emissions and monitoring of authorized users will be used by future range test engineers to make decisions on when and where to conduct test missions to minimize the probability of interference. The detection of authorized users exceeding their allotted RF spectrum as well as unknown emitters should include: the general geographic area of potential interference, and times of transmission. This paper outlines the development of a complete system for wide-band RF monitoring to identify and locate active emissions. The RF surveillance system proposed must be inexpensive, easy to maintain, support large area coverage, and monitor wide bandwidths at long range. The system should contain software for emitter identification, which will determine where the current background and authorized RF transmissions occur and how they might effect authorized transmissions, and specialized software to alert spectrum managers of potential interference scenarios in real time based upon the daily schedule.
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Books on the topic "Radio frequency spectrum analyzer"

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Withers, D. J. Radio spectrum management. London, U.K: P. Peregrinus Ltd. on behalf of the Institution of Electrical Engineers, 1991.

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Hatfield, Dale. Spectrum issues for the 1990s: New challenges for spectrum management. Washington, D.C: Annenberg Washington Program, Communications Policy Studies, Northwestern University, 1995.

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Radio spectrum management: Management of the spectrum and regulation of radio services. 2nd ed. London: Institution of Electrical Engineers, 1999.

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Gosling, W. Radio spectrum conservation. Oxford: Newnes, 2000.

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Camacho, Joseph P. Federal radar spectrum requirements. [Washington, D.C.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2000.

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Great Britain. Dept. of Trade and Industry. Radiocommunications Division., ed. Deregulation of the radio spectrum in the UK. London: H.M.S.O., 1987.

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Ghrera, A. M. Binary models for high frequency radio spectrum data. Manchester: UMIST, 1995.

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Verberne, Maartje Louise. Verdeling van het spectrum. [Amsterdam: Universiteit van Amsterdam], 2000.

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Division, New Zealand Communications. Review of management policies for broadcast spectrum. Wellington: The Division, 1995.

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Eisenmenger, Michael. Stealing back our spectrum. New York: Seven Stories Press, 1999.

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Book chapters on the topic "Radio frequency spectrum analyzer"

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Asif, Saad Z. "Radio Frequency Spectrum." In 5G Mobile Communications Concepts and Technologies, 15–24. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis: CRC Press, 2018. http://dx.doi.org/10.1201/9780429466342-3.

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Thomas, Gabriel, and A. Manickavasagan. "Radio Frequency Imaging." In Imaging with Electromagnetic Spectrum, 191–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54888-8_10.

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Fahim, Amr. "Wideband Spectrum Sensing Techniques." In Radio Frequency Integrated Circuit Design for Cognitive Radio Systems, 79–97. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11011-0_4.

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Mantovani, F., I. Browne, R. Fanti, A. Ficarra, T. Muxlow, L. Padrielli, and J. Romney. "Steep Spectrum Radio Sources Showing Low Frequency Variability." In Structure and Evolution of Active Galactic Nuclei, 623–26. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4562-3_62.

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Santana-Sosa, H., I. Raos, S. Zazo-Bello, I. A. Pérez-Álvarez, and J. López-Pérez. "Real-link Performance of a SS-MC-MA High Frequency Radio Modem." In Multi-Carrier Spread-Spectrum, 137–43. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4437-2_14.

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Borde, Sheetal, Kalyani Joshi, and Rajendrakumar Patil. "Quantitative Analysis of Radio Frequency Spectrum Occupancy for Cognitive Radio Network Deployment." In Inventive Computation Technologies, 847–57. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33846-6_92.

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Tane, S., M. Hashimoto, and Y. Kimura. "Power spectrum analysis of ultrasonic radio-frequency signals on cataracts." In Documenta Ophthalmologica Proceedings Series, 445–50. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1846-0_55.

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Tane, Sadanao, Tatsuhiro Kakehashi, Masaya Hirata, Takemitsu Hashimoto, Mariko Hashimoto, Hiroshi Kogakura, and Akira Komatsu. "Power spectrum analysis of ultrasonic radio-frequency signals in vitreous diseases." In Documenta Ophthalmologica Proceedings Series, 217–23. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0601-3_28.

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Ismail, Abdallah, Ioannis Lambadaris, Chung-Horng Lung, and Nishith Goel. "Performance of Packet-Based Frequency-Hopping Spread Spectrum Radio Control Systems." In Ad Hoc Networks, 457–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17994-5_31.

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Mantovani, Franco, Tom Muxlow, and Lucia Padrielli. "Morphology of Steep Spectrum Radio Sources Showing Variability at Low Frequency." In The Impact of VLBI on Astrophysics and Geophysics, 125–26. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2949-4_47.

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Conference papers on the topic "Radio frequency spectrum analyzer"

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Lorgere, I., L. Menager, and J. L. Le Gouet. "Radio frequency spectrum analyzer based on spectral hole burning." In CLEO 2001. Technical Digest. Summaries of papers presented at the Conference on Lasers and Electro-Optics. Postconference Technical Digest. IEEE, 2001. http://dx.doi.org/10.1109/cleo.2001.947932.

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Hamel-Bissell, B. H., V. Torres Company, and L. R. Chen. "A Real-Time Radio Frequency Spectrum analyzer." In 2010 IEEE Topical Meeting on Microwave Photonics (MWP 2010). IEEE, 2010. http://dx.doi.org/10.1109/mwp.2010.5664686.

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Lavielle, Menager, Lorgere, Le Gouet, Tonda, Dolfi, and Huignard. "Broadband radio-frequency spectrum analyzer based on spectral hole burning." In International Topical Meeting on Microwave Photonics MWP-02. IEEE, 2002. http://dx.doi.org/10.1109/mwp.2002.1158919.

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Chen, Liao, Yuhua Duan, Chi Zhang, and Xinliang Zhang. "A real-time ultra-broadband radio frequency spectrum analyzer based on parametric spectro-temporal analyzer." In CLEO: Applications and Technology. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/cleo_at.2017.jth2a.125.

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Ma, Ming, Rhys Adams, and Lawrence R. Chen. "On-chip Simultaneous Multi-Channel Ultra-Wideband Radio Frequency Spectrum Analyzer." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/ofc.2017.m3j.6.

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Wang, Ruolan, Liao Chen, Hao Hu, Yanjing Zhao, Chi Zhang, and Xinliang Zhang. "A real-time radio frequency spectrum analyzer with 1.8 THz bandwidth." In CLEO: Science and Innovations. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/cleo_si.2020.sw4n.5.

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Chen, Liao, Haidong Zhou, Yuhua Duan, Xi Zhou, Chen Zheng, Chi Zhang, and Xinliang Zhang. "A real-time broadband radio frequency spectrum analyzer based on time-lens." In 2017 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR). IEEE, 2017. http://dx.doi.org/10.1109/cleopr.2017.8118944.

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Oude Alink, Mark S., Eric A. M. Klumperink, Andre B. J. Kokkeler, Wei Cheng, Zhiyu Ru, Amir Ghaffari, Gerard J. M. Wienk, and Bram Nauta. "A CMOS spectrum analyzer frontend for cognitive radio achieving +25dBm IIP3 and −169 dBm/Hz DANL." In 2012 IEEE Radio Frequency Integrated Circuits Symposium (RFIC). IEEE, 2012. http://dx.doi.org/10.1109/rfic.2012.6242226.

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Corcoran, B., T. D. Vo, M. Pelusi, C. Monat, D.-X. Xu, A. Densmore, R. Ma, S. Janz, D. J. Moss, and B. J. Eggleton. "Silicon nanowire based radio-frequency spectrum analyser." In 2010 36th European Conference and Exhibition on Optical Communication - (ECOC 2010). IEEE, 2010. http://dx.doi.org/10.1109/ecoc.2010.5621130.

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Corcoran, B., T. D. Vo, M. Pelusi, C. Monat, D.-X. Xu, A. Densmore, R. Ma, S. Janz, D. J. Moss, and B. J. Eggleton. "Silicon nanowire based radio-frequency spectrum analyser." In 2010 7th IEEE International Conference on Group IV Photonics (GFP). IEEE, 2010. http://dx.doi.org/10.1109/group4.2010.5643325.

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Reports on the topic "Radio frequency spectrum analyzer"

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Macdonald, Thomas G., and Michael B. Pursley. Frequency-Hop Spread-Spectrum Packet Radio with Hermitian Codes. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada393087.

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Georgiopoulos, Michael, and P. Papantoni-Kazakos. A Random Access Algorithm for Frequency Hopped Spread Spectrum Packet Radio Networks. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada165935.

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Gluck, J. W., and E. Geranlotis. Throughput and Packet Error Probability of Cellular Frequency-Hopped Spread-Spectrum Radio Networks. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada454594.

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