Relevant bibliographies by topics / Software defined radio receiver

Contents

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

Academic literature on the topic 'Software defined radio receiver'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Software defined radio receiver"

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

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Bagheri, R., A. Mirzaei, M. E. Heidari, S. Chehrazi, Minjae Lee, M. Mikhemar, W. K. Tang, and A. A. Abidi. "Software-defined radio receiver: dream to reality." IEEE Communications Magazine 44, no. 8 (August 2006): 111–18. http://dx.doi.org/10.1109/mcom.2006.1678118.

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Magnuski, Mirosław, Maciej Surma, and Dariusz Wójcik. "Broadband Input Block of Radio Receiver for Software-Defined Radio Devices." International Journal of Electronics and Telecommunications 60, no. 3 (October 28, 2014): 233–38. http://dx.doi.org/10.2478/eletel-2014-0029.

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Abstract In the paper a cost-effective input block of the SDR receiver for 0.9 — 2.4 GHz frequency band built of capacitive-tuned selective amplifier and broadband Vivaldi antenna is presented. The applied selective amplifier consists of three identical sections of tunable filters and two stages of monolithic broadband amplifiers. The single filter section proposed by the authors, due to its ability to absorb parasitic inductances of varicap diodes, simplifies usage of encapsulated varicap diodes in design of tunable in broad band selective filters dedicated to input stages of the receivers. Moreover, proposed filter section has small variation of in-band insertion loss in comparison to varicap-tuned filters built of coupled transmission lines which are commonly applied in input blocks of the microwave receivers. The described selective amplifier could be easily integrated on a single substrate with the Vivaldi antenna which is a cost effective way of fabrication of the tunable in broad band input block of a receiver that has desired gain, selectivity and directivity of the antenna.
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Jin Li, Yijun Luo, and Mao Tian. "FM Stereo Receiver Based on Software-Defined Radio." International Journal of Digital Content Technology and its Applications 6, no. 1 (January 31, 2012): 75–81. http://dx.doi.org/10.4156/jdcta.vol6.issue1.10.

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Kumarin, A. A., and I. A. Kudryavtsev. "Software-defined Radio GNSS Receiver Signal Tracking Methods." IOP Conference Series: Materials Science and Engineering 984 (November 28, 2020): 012020. http://dx.doi.org/10.1088/1757-899x/984/1/012020.

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Abidi, Asad A. "The Path to the Software-Defined Radio Receiver." IEEE Journal of Solid-State Circuits 42, no. 5 (May 2007): 954–66. http://dx.doi.org/10.1109/jssc.2007.894307.

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

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The USRP1 is the original Universal Software Radio Peripheral hardware (USRP) that provides entry-level RF processing capability. Its primary purpose is to provide flexible software defined radio development capability at a low price. You can control the frequency you receive and transmit by installing different daughter-boards. The authors' USRP model had been configured to receive a signal from local radio stations in the DC, Maryland metropolitan area with the BasicRX model daughterboard. The programmable USRP was running python block code implemented in the GNU Radio Companion (GRC) on Ubuntu OS. With proper parameters and sinks the authors were able to tune into the radio signal, record the signal and extract the in-phase (I) and quadrature phase (Q) data and plot the phase and magnitude of the signal. Using the terminal along with proper MATLAB and Octave code, they were able to read the I/Q data and look at the Fast Fourier Transform (FFT) plot along with the I/Q data. With the proper equations, you could determine not only the direction of arrival, but one would also be able to calculate the distance from the receiver to the exact location where the signal is being transmitted. The purpose of doing this experiment was to gain experience in signal processing and receive hands on experience with the USRP and potentially add a tracking system to the authors' model for further experiments.
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Taylor, Fred, Evan Gattis, Lucca Trapani, Dennis Akos, Sherman Lo, Todd Walter, and Yu-Hsuan Chen. "Software Defined Radio for GNSS Radio Frequency Interference Localization." Sensors 24, no. 1 (December 22, 2023): 72. http://dx.doi.org/10.3390/s24010072.

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The use of radio direction finding techniques in order to identify and reject harmful interference has been a topic of discussion both past and present for signals in the GNSS bands. Advances in commercial off-the-shelf radio hardware have led to the development of new low-cost, compact, phase coherent receiver platforms such as the KrakenSDR from KrakenRF whose testing and characterization will be the primary focus of this paper. Although not specifically designed for GNSSs, the capabilities of this platform are well aligned with the needs of GNSSs. Testing results from both benchtop and in the field will be displayed which verify the KrakenSDR’s phase coherence and angle of arrival estimates to array dependent resolution bounds. Additionally, other outputs from the KrakenSDR such as received signal strength indicators and the angle of arrival confidence values show strong connections to angle of arrival estimate quality. Within this work the testing that will be primarily presented is at 900 MHz, with results presented from a government-sponsored event where the Kraken was tested at 1575.42 MHz. Finally, a discussion of calibration of active antenna arrays for angle of arrival is included as the introduction of active antenna elements used in GNSS signal collection can influence angle of arrival estimation.
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Mohammed, Asmaa, Heba Asem, Hatem Yousry, and Abdelhalim Zekry. "Performance Evaluation for GSM Receiver Using Software Defined Radio." International Journal of Engineering Trends and Technology 30, no. 7 (December 25, 2015): 333–40. http://dx.doi.org/10.14445/22315381/ijett-v30p262.

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Rivet, F., Y. Deval, J. B. Begueret, D. Dallet, P. Cathelin, and D. Belot. "A Disruptive Receiver Architecture Dedicated to Software-Defined Radio." IEEE Transactions on Circuits and Systems II: Express Briefs 55, no. 4 (April 2008): 344–48. http://dx.doi.org/10.1109/tcsii.2008.919512.

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Dissertations / Theses on the topic "Software defined radio receiver"

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Ödquist, Matilda. "Software-Defined Radio Receiver for IEEE 802.11n." Thesis, Linköpings universitet, Kommunikationssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170724.

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This thesis studies the physical layer (PHY layer) of the IEEE 802.11n wireless local area network (WLAN) standard. The possibility of integrating a receiver designed according to the standard with software-defined radios is investigated. The proposed design was implemented in MATLAB and tested using two softwaredefined radios. One of the radios transmitted IEEE 802.11n signals whilst the other one captured them and sent them to a computer for decoding. In this way, evaluation of the proposed receiver design was done. The tests resulted in successfully decoded WLAN packets, although errors occured regularly due to distortions in the air. The proposed MATLAB design can be developed further, with more features, for future tests and research.
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Don, Michael L. "A Low-Cost Software-Defined Telemetry Receiver." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596410.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV
The Army Research Laboratories has developed a PCM/FM telemetry receiver using a low-cost commercial software-defined radio (SDR). Whereas traditional radio systems are implemented in hardware, much of the functionality of software-defined radios is defined in software. This gives them the flexibility to accommodate military telemetry standards as well as other specialized functions. After a brief review of telecommunication theory, this paper describes the receiver implementation on a commercial SDR platform. Data rates up to 10 Mbs were obtained through the customization the SDR's field programmable gate array.
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Sanfuentes, Juan L. "Software defined radio design for synchronization of 802.11A receiver." Thesis, Monterey, California. Naval Postgraduate School, 2007. http://hdl.handle.net/10945/3197.

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Constant improvements in techniques applied to different radio communication system stages, including coding, modulation, synchronization and security, make any implementation quickly obsolete. On the other hand, different communication standards used among military and public safety agencies make difficult the necessary interoperability. These reasons force users to replace equipment frequently, increasing cost and implementation time. Software Defined Radios (SDRs), partly implemented in software, can solve these problems, making full use of programmable modules. This thesis presents an implementation of the necessary algorithms that solve the synchronization requirements of IEEE 802.11a WLAN receivers. This is a continuation of a previous thesis effort, where the post-synchronization steps of the receiver were addressed. The software utilized for this purpose is the Open Source SCA Implementation::Embedded (OSSIE), developed by Virginia Tech. Each algorithm was created as a different component, allowing reuse and modularity for the development of future waveforms.
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Kumar, Sumit. "Architecture for simultaneous multi-standard software defined radio receiver." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS160.

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Motivés par les capacités du SDR, nous théorisons dans ce travail un récepteur de définition radio multi-standard simultané (SMS-SDR). Un récepteur SMS-SDR sera capable de décoder "simultanément" les informations de plusieurs standards sans fil hétérogènes utilisant le même frontal RF. Nos réseaux cibles sont des réseaux à accès aléatoire fonctionnant dans des bandes sans licence. Ces normes fonctionnent sans coordination centralisée et sont soumises à de graves brouillage entre canaux du même type de technologie (CT-CCI) car leurs bandes de fréquences de fonctionnement se chevauchent. Nous développons plusieurs nouveaux algorithmes de traitement du signal en bande de base afin d'éliminer l'ICC des récepteurs à une et plusieurs antennes. Nous avons choisi le cas de l'utilisation de signaux à bande étroite et à large bande, en accordant une attention particulière aux systèmes basés sur OFDM, l'OFDM étant une technique de couche physique essentielle des normes sans fil modernes telles que les familles IEEE 802.11 et 4G. Au cours du développement, nous nous concentrons sur les méthodes pouvant fonctionner de manière autonome dans le récepteur, c'est-à-dire sans aucune coopération de la part de l'émetteur ou de la station de base. De cette manière, ce sont des réseaux à accès aléatoire appropriés fonctionnant dans des bandes sans licence. De plus, les algorithmes peuvent être intégrés à l'infrastructure existante sans aucun effort significatif. Enfin, nos méthodes d'atténuation des interférences sont utilisées pour développer des arbres de décision qui recommandent la séquence d'étapes permettant d'atténuer les interférences entre deux signaux hétérogènes. Enfin, nous avons validé nos algorithmes en les implémentant à l'aide de SDR
Motivated by the capabilities of the SDR, we theorize in this work a simultaneous multi-standard radio definition receiver (SMS-SDR). An SMS-SDR receiver will be able to "simultaneously" decode the information of several heterogeneous wireless standards using the same RF front end. Our target networks are random access networks operating in unlicensed bands. These standards operate without centralized coordination and are subject to serious interference between channels of the same type of technology (CT-CCI) because their operating frequency bands overlap. We are developing several new baseband signal processing algorithms to eliminate ICC from single and multi-antenna receivers. We chose the case of the use of narrow-band and broadband signals, paying particular attention to OFDM-based systems, OFDM being an essential physical layer technique of modern wireless standards such as IEEE families 802.11 and 4G. During development, we focus on methods that can operate autonomously in the receiver, that is, without any cooperation from the transmitter or base station. In this way, they are appropriate random access networks operating in unlicensed bands. In addition, the algorithms can be integrated into the existing infrastructure without any significant effort. Finally, our interference mitigation methods are used to develop decision trees that recommend the sequence of steps to mitigate interference between two heterogeneous signals. Finally, we validated our algorithms by implementing them using SDR
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Warr, Paul. "Octave-band feedforward linearisation for software defined radio receiver amplifiers." Thesis, University of Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340270.

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Holstensson, Oskar. "Study of Interferer Canceling Systems in a Software Defined Radio Receiver." Thesis, Linköpings universitet, Institutionen för systemteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92757.

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This thesis describes the work related to an interferer rejection system employing frequency analysis and cancellation through phase-opposed signal injection. The first device in the frequency analysis chain, an analog fast Fourier transform application-specific integrated circuit (ASIC), was improved upon. The second device, a chained fast Fourier transform followed by a frequency analysis module employing cross-correlation for signal detection was specified, designed and implemented in VHDL.
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Koch, Mick V. "An Accessible Project 25 Receiver Using Low-Cost Software Defined Radio." Ohio University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1464007525.

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Shetye, Kalpesh Anil. "Design and implementation of a software defined radio receiver for AM band." Auburn, Ala., 2007. http://repo.lib.auburn.edu/2007%20Spring%20Theses/SHETYE_KALPESH_58.pdf.

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Швець, Валеріян Анатолійович, Volodymyr Kondratiuk, Svitlana Ilnytska, and Oleksandr Kutsenko. "Radionavigation field monitoring in the landing area using software-defined radio receiver." Thesis, National Aviation University, 2018. http://er.nau.edu.ua/handle/NAU/36846.

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Zhang, Chen. "An ECA-Based ZigBee Receiver." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/31516.

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Element CXI's Elemental Computing Array (ECA) delivers faster reconfiguration time and higher computational density than Field Programmable Gate Arrays (FPGAs) with similar computational power. It provides higher computational power than Digital Signal Processors (DSPs) with similar power consumption and price. It also utilizes a library-based graphical development environment promoting ease of use and fast development. In this thesis, the design and implementation of a ZigBee receiver on an Element CXI ECA-64 platform is presented. The ZigBee receiver is evaluated through simulations and implementation on an ECA device. During the design and implementation of the ZigBee receiver, some design experience and tips are concluded. The design methodology on the ECA is studied in detail to assure the implementationâ s correctness, since the methodology of the ECA is different from that of other platforms.
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Books on the topic "Software defined radio receiver"

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Spiridon, Silvian. Toward 5G Software Defined Radio Receiver Front-Ends. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32759-4.

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Wepman, J. A. Implementation and testing of a software defined radio cellular base station receiver. [Washington, DC]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2001.

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Hamkins, Jon, and Marvin K. Simon, eds. Autonomous Software-Defined Radio Receivers for Deep Space Applications. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0470087803.

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Tuttlebee, Walter, ed. Software Defined Radio. Chichester, UK: John Wiley & Sons, Ltd, 2002. http://dx.doi.org/10.1002/0470846003.

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Tuttlebee, Walter, ed. Software Defined Radio. Chichester, UK: John Wiley & Sons, Ltd, 2002. http://dx.doi.org/10.1002/0470846011.

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Tuttlebee, Walter, ed. Software Defined Radio. Chichester, UK: John Wiley & Sons, Ltd, 2002. http://dx.doi.org/10.1002/0470846003.

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Tuttlebee, Walter, ed. Software Defined Radio. Chichester, UK: John Wiley & Sons, Ltd, 2002. http://dx.doi.org/10.1002/0470846011.

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Tuttlebee, Walter H. W., ed. Software Defined Radio. Chichester, UK: John Wiley & Sons, Ltd, 2003. http://dx.doi.org/10.1002/0470867728.

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Bard, John, and Vincent J. Kovarik. Software Defined Radio. Chichester, UK: John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470865200.

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Grayver, Eugene. Implementing Software Defined Radio. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9332-8.

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Book chapters on the topic "Software defined radio receiver"

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Benvenuto, N., G. A. Mian, and F. Momola. "Digital Receiver Architecture for Multi-Standard Software Defined Radios." In Software Radio, 143–54. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0343-1_12.

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Borre, Kai. "The Aalborg GPS Software Defined Radio Receiver." In Satellite Communications and Navigation Systems, 169–83. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-47524-0_13.

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Kulkarni, Jayshri, Chow-Yen-Desmond Sim, Jawad Yaseen Siddiqui, Anisha M. Apte, Ajay Kumar Poddar, and Ulrich L. Rohde. "Software-Defined Radio, Receiver, and Transmitter Analysis." In Multifunctional and Multiband Planar Antennas for Emerging Wireless Applications, 307–72. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003331018-9.

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Rohde, Ulrich L., and Hans Zahnd. "Software Defined Radio, Receiver and Transmitter Analysis." In Fundamentals of RF and Microwave Techniques and Technologies, 1183–239. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-94100-0_12.

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Nouri, Sajjad, Waqar Hussain, Diana Göhringer, and Jari Nurmi. "Design and Implementation of IEEE 802.11a/g Receiver Blocks on a Coarse-Grained Reconfigurable Array." In Computing Platforms for Software-Defined Radio, 61–89. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49679-5_4.

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Spiridon, Silvian. "A System-Level Perspective of Modern Receiver Building Blocks." In Toward 5G Software Defined Radio Receiver Front-Ends, 71–89. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32759-4_7.

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Spiridon, Silvian. "Overview of Wireless Communication in the Internet Age." In Toward 5G Software Defined Radio Receiver Front-Ends, 1–12. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32759-4_1.

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Spiridon, Silvian. "Defining the Optimal Architecture." In Toward 5G Software Defined Radio Receiver Front-Ends, 13–29. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32759-4_2.

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Spiridon, Silvian. "From High-Level Standard Requirements to Circuit-Level Electrical Specifications: A Standard-Independent Approach." In Toward 5G Software Defined Radio Receiver Front-Ends, 31–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32759-4_3.

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Spiridon, Silvian. "Optimal Filter Partitioning." In Toward 5G Software Defined Radio Receiver Front-Ends, 45–54. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32759-4_4.

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Conference papers on the topic "Software defined radio receiver"

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Shi, Elizabeth A., Mark Andrews, Caglar Yardim, Joel T. Johnson, and Joe Vinci. "Software Defined Radio Based Drone Receiver Payload." In 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). IEEE, 2021. http://dx.doi.org/10.23919/ursigass51995.2021.9560630.

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Mohajer, M., A. Mohammadi, and A. Abdipour. "A software defined radio direct conversion receiver." In 2005 European Microwave Conference. IEEE, 2005. http://dx.doi.org/10.1109/eumc.2005.1610316.

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Bousseaud, Pierre, Emil Novakov, and Jean-Michel Fournier. "A 130nm low power Software-Defined radio receiver." In 2012 Asia Pacific Microwave Conference (APMC). IEEE, 2012. http://dx.doi.org/10.1109/apmc.2012.6421812.

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Karabulut, Engin, Serdar Birecik, and Sarp Erturk. "Implementation of sonobuoy receiver using software defined radio." In 2012 20th Signal Processing and Communications Applications Conference (SIU). IEEE, 2012. http://dx.doi.org/10.1109/siu.2012.6204449.

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Prata, Andre, Arnaldo S. R. Oliveira, and Nuno Borges Carvalho. "FPGA-based all-digital Software Defined Radio receiver." In 2015 25th International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2015. http://dx.doi.org/10.1109/fpl.2015.7293993.

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Schmidt-Knorreck, Carina, Daniel Knorreck, and Raymond Knopp. "IEEE 802.11p Receiver Design for Software Defined Radio Platforms." In 2012 15th Euromicro Conference on Digital System Design (DSD). IEEE, 2012. http://dx.doi.org/10.1109/dsd.2012.76.

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Sinha, Devarpita, Anish Kumar Verma, and Sanjay Kumar. "Sample rate conversion technique for software defined radio receiver." In 2016 10th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2016. http://dx.doi.org/10.1109/isco.2016.7727029.

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Schreiber, Rudolf, and Josef Bajer. "Software defined radio based receiver for TDOA positioning system." In 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC). IEEE, 2016. http://dx.doi.org/10.1109/dasc.2016.7778086.

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Zhuang, Hui, Suiping Guo, Benkai Jia, and Ning Xu. "Research on the Software-Defined Radio (SDR)-Radiosonde Receiver." In Wireless Communications. Calgary,AB,Canada: ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.730-066.

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Sosa, Angel Luis Zuriarrain, Roberto Alesii, and Fortunato Santucci. "Cross-platform evaluation for Software Defined Radio GNSS receiver." In 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC). IEEE, 2022. http://dx.doi.org/10.23919/at-ap-rasc54737.2022.9814436.

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Reports on the topic "Software defined radio receiver"

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Gowda, A. S. Photonic Software Defined Radio. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1572630.

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Poyneer, L. Addressing qubits with a software-defined radio FPGA. Office of Scientific and Technical Information (OSTI), November 2020. http://dx.doi.org/10.2172/1722961.

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Channamallu, Aditya. Software Defined Radio based Modulated Scatterer Antenna Measurement. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6331.

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Weingart, Troy B., Doug Sicker, Dirk Grunwald, and Michael Neufeld. Adverbs and Adjectives: An Abstraction for Software Defined Radio. Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada430375.

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Grabner, Mitchel, and Michael Don. A Real-Time Software-Defined Radio Two-Way Ranging Protocol. DEVCOM Army Research Laboratory, November 2023. http://dx.doi.org/10.21236/ad1214908.

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Shribak, Dmitry, Alexander Heifetz, and Xin Huang. Development of Software Defined Radio Protocol for Acoustic Communication on Pipes. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1480537.

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Brown, Alison K., Yan Lu, and Janet Nordlie. Design and Test Results of a Software Defined Radio for Indoor Navigation. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada444317.

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Ilg, Mark. Framework For A Software-defined Global Positioning System (GPS) Receiver For Precision Munitions Applications. Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada559589.

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Loehner, Henry, Alfonzo Orozco, and Mark Hadley. Secure Software Defined Radio Project: Secure Wireless Systems for the Energy Sector (Briefing 6). Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1772564.

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Lanoue, Matthew J. Next Generation Satellite Communications: Automated Doppler Shift Compensation of PSK-31 Via Software-Defined Radio. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada604772.

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