Relevant bibliographies by topics / Software radio

Academic literature on the topic 'Software radio'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Software radio"

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Simić, Igor, and Aleksa Zejak. "Software radio." Vojnotehnicki glasnik 46, no. 6 (1998): 574–82. http://dx.doi.org/10.5937/vojtehg9805574s.

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Kwang-Cheng Chen, R. Prasad, and H. V. Poor. "Software Radio." IEEE Personal Communications 6, no. 4 (August 1999): 12. http://dx.doi.org/10.1109/mpc.1999.788209.

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Mitola, J., and G. Q. Maguire. "Cognitive radio: making software radios more personal." IEEE Personal Communications 6, no. 4 (1999): 13–18. http://dx.doi.org/10.1109/98.788210.

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da Silva, Fabrício A. B., David F. C. Moura, and Juraci F. Galdino. "Classes of Attacks for Tactical Software Defined Radios." International Journal of Embedded and Real-Time Communication Systems 3, no. 4 (October 2012): 57–82. http://dx.doi.org/10.4018/jertcs.2012100104.

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This survey presents a classification of attacks that Software Communications Architecture (SCA) compliant Software Defined Radios (SDR) can suffer. This paper also discusses how attack mitigation strategies can impact the development of a SCA-compliant software infrastructure and identifies several research directions related to SDR security. The SCA standard was originally proposed by the Joint Tactical Radio System program (JTRS), which is a program for the development of military tactical radios sponsored by the US Department of Defense. The classification presented in this paper is based on attack results on the radio set, which can also be associated with the adversary’s objectives when planning an intrusion. The identification of classes of attacks on a radio, along with the associated threats and vulnerabilities, is the first step in engineering a secure SDR system. It precedes the identification of security requirements and the development of security mechanisms. Therefore, the identification of classes of attacks is a necessary step for the definition of realistic and relevant security requirements.
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Jacques, Palicot, and Hentschel Tim. "Software Radio: Implementation aspects." Annales Des Télécommunications 57, no. 7-8 (July 2002): 567–69. http://dx.doi.org/10.1007/bf02995509.

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Savic, Dejan, Boban Pavlovic, and Milan Sunjevaric. "Software: Based radio architecture." Vojnotehnicki glasnik 48, no. 1 (2000): 48–54. http://dx.doi.org/10.5937/vojtehg0001048s.

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Bing, B. "Software-Defined Radio Basics." IEEE Distributed Systems Online 6, no. 10 (October 2005): 6. http://dx.doi.org/10.1109/mdso.2005.54.

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Mitola, J. "The software radio architecture." IEEE Communications Magazine 33, no. 5 (May 1995): 26–38. http://dx.doi.org/10.1109/35.393001.

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Buracchini, E. "The software radio concept." IEEE Communications Magazine 38, no. 9 (2000): 138–43. http://dx.doi.org/10.1109/35.868153.

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Wolf, W. "Building the software radio." Computer 38, no. 3 (March 2005): 87–89. http://dx.doi.org/10.1109/mc.2005.82.

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Dissertations / Theses on the topic "Software radio"

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Alhasan, Raghda. "Software defined radio." Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-53361.

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Software Defined Radio (SDR) technology is used to receive and transmit radio signals. Radio signals can be received using the SDR_sharp software that can be downloaded to a personal computer and combined with the RTL-SDR dongle hardware that is connected to the computer. This report gives a brief explanation of the SDR receiver, the supported software, and some applications that can be implemented with SDR. Moreover, it is shown how to install the SDR_sharp software and the hardware Zadig. After installation, wideband FM (WFM) reception and adjustment of RF gain and frequency error is illustrated. The reception of some national, regional and community/commercial stations that can be received in Växjö Sweden is presented. Keyword: Software defined radio, FM radio.
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Nash, Christopher, and Christopher Hogstrom. "SOQPSK Software Defined Radio." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596411.

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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
This paper presents the results of laboratory experiments using a commercial-off-the-shelf software defined radio to demodulate SOQPSK-TG for aeronautical telemetry. Using the NI USRP N210 and Zynq™ processor, we achieved 900 kbits/s demodulation and found that the USRP N210 has a signal sensitivity of -71 dBm at a BER of 10⁻⁶.
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Smuts, Matthys. "Software modem for a software defined radio system." Thesis, Stellenbosch : University of Stellenbosch, 2007. http://hdl.handle.net/10019.1/1985.

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Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007.
The use of older and slower protocols has become increasingly difficult to justify due to the rapid pace at which telecommunications are advancing. To keep up to date with the latest technologies, the communications system must be designed to accommodate the transparent insertion of new communications standards in all the stages of a system. The system should, however, also remain compatible with the older standards so as not to demand an upgrade of the older systems. The concept of a software defined radio was introduced to overcome these problems. In a software defined radio system, the functionality of the communications system is defined in software, which removes the the need for alterations to the hardware during technology upgrade. To maintain interoperatibilty, the system must be based on a standardised architecture. This would further allow for enhanced scalability and provide a plug-andplay feature for the components of the system. In this thesis, generic signal processing software components are developed to illustrate the creation of a basic software modem that can be parameterised to comply fully, or partially, to various standards.
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Pratt, Jason Michael. "A software defined radio for research into cognitive radio." Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.mst.edu/thesis/pdf/Pratt2_09007dcc8049b35e.pdf.

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Thesis (M.S.)--University of Missouri--Rolla, 2007.
Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed December 7, 2007) Includes bibliographical references (p. 171-173).
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Chapin, John, and Alok Shah. "SOFTWARE RADIO TECHNOLOGY AND CHALLENGES." International Foundation for Telemetering, 2002. http://hdl.handle.net/10150/607499.

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International Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, California
This paper provides an overview of software radio and its current state in the industry. Software radio is a technology in which all of the waveform processing, including the physical layer, of a wireless device moves into software. If designed properly, this approach leads to dramatically improved device flexibility, software portability, and reduced development costs. Of course, such a technology brings with it numerous challenges, from hardware components to power constraints to the regulatory environment.
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Antunes, Lúcia Margarida da Mata. "Software defined radio em FPGA." Master's thesis, Universidade de Aveiro, 2009. http://hdl.handle.net/10773/2150.

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Mestrado em Engenharia Electrónica e Telecomunicações
Esta dissertação teve como objectivo o desenvolvimento de parte de um receptor para Digital Audio Broadcasting (DAB) recorrendo aos conceitos ditados por Software Defined Radio (SDR). O receptor de rádio inclui a conversão de digital para analógico e a subsequente desmodelação de banda- base,pelo que é possível aceder à bit stream em qualquer ponto do sistema. A dissertação foi dividida em duas fases. Na primeira, o receptor completo foi simulado em MATLAB. Na segunda, o mesmo sistema foi implementado e testado numa placa XtremeDSP Development Kit-IV, a qual contêm um Field-Programmable Gate Array (FPGA). O sistema simulado foi testado com dois tipos de amostras. As primeiras consistiram em sinais DAB gerados em MATLAB e posteriormente distorcidos por diferentes canais também simulados pelo mesmo software. Foi assim possível fazer um estudo da probabilidade de erro quando o sinal é exposto a diferentes perturbações, como ruído, desvios na frequência e no tempo. O sistema foi ainda testado com amostras DAB reais. As constelações desmodelados mostraram o correcto funcionamento do sistema. Apenas parte do receptor simulado foi implementado no FPGA. A parte já desenvolvida consiste nas funções de desmodelação: desmodelação OFDM, desmodelação diferencial, frequency deinterleaving e demapeamento QPSK. O sistema de sincronização DAB não foi implementado. O sistema já desenvolvido é assim capaz de desmodelar um sinal DAB gerado no MATLAB, desde que este não contenha qualquer distorção. ABSTRACT: The aim of this dissertation was the development of part of a Digital Audio Broadcasting (DAB) receiver by means of Software Defined Radio (SDR). This radio receiver includes the Intermediate Frequency (IF) to baseband conversion and the subsequent baseband demodulation, thus one may access the bit stream in any point of the system. This dissertation was divided in two phases. In the first one, the whole DAB system was simulated in MATLAB. In the second, the receiver was implemented and tested in an XtremeDSP Development Kit-IV platform, which includes a Field-Programmable Gate Array (FPGA). The simulated system was tested with two kinds of samples. The first ones were generated in MATLAB and subsequently distorted by different channel conditions also simulated in the same software. This well known DAB digital signal allowed us to perform a Bit Error Rate (BER) study with several channel conditions, such as noise, multipath, frequency and time offsets. Further on, real DAB samples were used for testing. The demodulated QPSK constellations showed the correct operation of the system. Only part of the simulated receiver was implemented in the FPGA. This part consists in the channel demodulation functions: OFDM demodulation, differential demodulation, frequency deinterleaving and QPSK demapper. The DAB synchronization block was not implemented. The developed system is able to recover the modulated bit stream from the digital signal produced in MATLAB, since this signal is free of noise, frequency and time offsets
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Bales, Jason M. "Multi-channel hardware/software codesign on a software radio platform." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3400.

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Thesis (M.S.)--George Mason University, 2008.
Vita: p. 89. Thesis director: David D. Hwang. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering. Title from PDF t.p. (viewed Mar. 9, 2009). Includes bibliographical references (p. 85-88). Also issued in print.
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Cronje, Johannes Jacobus. "Software architecture design of a software defined radio system." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50095.

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Thesis (MScEng)--University of Stellenbosch, 2004.
ENGLISH ABSTRACT: The high pace of technological advancement enables the realisation of ever more advanced mobile communications standards with more functionality than simple voice communications. The hardware that is used to implement the radio sections of these systems generally require long design cycles, much longer than the design cycles of the other components of a communications system. Another problem is that, once new communications standards are introduced, the current hardware platforms used in the terminal equipment becomes obsolete because they can generally not be used with the new standards. This has serious cost implications for both the service provider and the consumer, because both parties have to acquire new equipment to be able to use the new standards. An elegant solution to the above issues is to use software-defined radio sections to replace the hardware radio components. New communications standards can then be supported by simply loading new software onto the equipment, provided the maximum processing capacity of the processor(s) that the software runs on can accommodate the bandwidth requirements of that specific standard. This thesis investigates the ideas behind software defined radio and also describes the design and implementation of a software architecture that can be used to implement software defined radios on general-purpose platforms such as personal computers.
AFRIKAANSE OPSOMMING: Die hoë tempo van tegnologiese vordering maak dit moontlik om baie gevorderde mobiele kommunikasie standaarde te implementeer wat meer funksionaliteit bied as blote spraakkommunikasie. Die hardeware wat gebruik word om die radios van sulke stelsels te implementeer neem gewoonlik langer om te ontwikkel as die ander komponente van die stelsels. Die ander probleem is dat hierdie hardeware gewoonlik nie hergebruik kan word wanneer nuwe kommunikasie standaarde in gebruik geneem word nie omdat die standaarde nie versoenbaar is nie. Dit het tot gevolg dat beide die verbruiker en die diensverskaffer groot bedrae geld moet spandeer om die nuwe tegnologie te kan gebruik. 'n Elegante oplossing vir hierdie probleme is om gebruik te maak van radios waarvan die funksionaliteit in sagteware gedefiniëer word. Nuwe kommunikasie standaarde kan dan gebruik word deur slegs die nodige sagteware op die toerusting te laai, solank die verwerkingskapasiteit van die mikroverwerkers in die stelsel die benodigde bandwydte kan akkommodeer. Hierdie tesis ondersoek die konsepte van sagteware-gedefiniëerde radio en beskryf die ontwerp en implementering van 'n sagteware argitektuur vir die implementering van sagteware-gedefiniëerde radios op veeldoelige platforms soos persoonlike rekenaars.
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Scaperoth, David Alan. "Configurable SDR Operation for Cognitive Radio Applications using GNU Radio and the Universal Software Radio Peripheral." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/32961.

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With interoperability issues plaguing emergency responders throughout the country, Cognitive Radio (CR) offers a unique solution to streamline communication between police, Emergency Medical Technicians (EMT), and military officers. Using Software Defined Radio (SDR) technology, a flexible radio platform can be potentially configured using a Cognitive Engine (CE) to transmit and receive many different incompatible radio standards. In this thesis, an interface between a Cognitive Engine and an SDR platform is described which modifies (i.e., configures) the radioâ s operation. The interface is based upon communicating information via eXtensible Markup Language (XML) data files that contain the radioâ s Physical (PHY) parameters. The XML data files have been designed such that more development can be made to its structure as this research develops. The GNU Radio and the Universal Software Radio Peripheral (USRP) serve as the SDR platform for an example implementation. The example implementation involves importing XML data files into the SDR for quick configuration. Three configuration examples are used to describe this process.
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Paffetti, Michele. "Software Defined Radio for NB-IoT." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14315/.

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The next generation of mobile radio systems is expected to providing wireless connectivity for a wide range of new applications and services involving not only people but also machines and objects. Within few years, billions of low-cost and low-complexity devices and sensors will be connected to the Internet, forming a converged ecosystem called Internet of Things (IoT). As a result, in 2016, 3GPP standardizes NB-IoT, the new narrowband radio technology developed for the IoT market. Massive connectivity, reduced UE complexity, coverage extension and deployment flexibility are the targets for this new radio interface, which also ensures harmonious coexistence with current GSM, GPRS and LTE systems. In parallel, the rise of open-source software combined with Software Defined Radio (SDR) solutions has completely changed radio systems engineering in the late years. This thesis focuses on developing the NB-IoT’s protocol stack on the EURECOM’s open-source software platform OpenAirInterface (OAI). First part of this work aims to implement NB-IoT’s Radio Resource Control functionalities on OAI. After an introduction to the platform architecture, a new RRC layer code structure and related interfaces are defined, along with a new approach for Signalling Radio Bearers management. A deep analysis on System Information scheduling is conducted and a subframe-based transmission scheme is then proposed. The last part of this thesis addresses the implementation of a multi-vendor platform interface based on Small Cell Forum’s Functional Application Platform Interface (FAPI) standard. A configurable and dynamically loadable Interface Module (IF-Module) is designed between OAI’s MAC and PHY layers. Primitives and related code structures are presented as well as corresponding Data and Configuration’s procedures. Finally, the convergence of both NB-IoT and FAPI requirements lead to re-design PHY layer mechanisms for which a downlink transmission scheme is proposed.
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Books on the topic "Software radio"

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Del Re, Enrico, ed. Software Radio. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0343-1.

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Venosa, Elettra, fredric j. harris, and Francesco A. N. Palmieri. Software Radio. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-0113-1.

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Mitola, Joseph. Software Radio Architecture. New York, USA: John Wiley & Sons, Inc., 2000. http://dx.doi.org/10.1002/047121664x.

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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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Bard, John. Software defined radio: The software communications architecture. Chichester, UK: John Wiley & Sons, 2007.

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Book chapters on the topic "Software radio"

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Ronga, L. S., A. Cardilli, B. Eged, P. Horvath, W. Kogler, and M. Wittig. "Software Radio." In Digital Satellite Communications, 417–47. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-34649-6_10.

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Venosa, Elettra, fredric j. harris, and Francesco A. N. Palmieri. "Radio Design." In Software Radio, 53–83. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0113-1_3.

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Gerla, M., P. Johansson, R. Kapoor, and F. Vatalaro. "Bluetooth: “Last Meter” Technology for Nomadic Wireless Internetting." In Software Radio, 3–14. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0343-1_1.

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Hara, Shinsuke, Daisuke Kitazawa, and Hiroyuki Yomo. "Adaptive Access Scheme Selection in Software-Based Wireless Multimedia Communications." In Software Radio, 117–27. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0343-1_10.

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Sacchi, Claudio, Gianluca Gera, and Carlo S. Regazzoni. "Distribution of Intelligence and Radio Link Configurability in Wireless Video-based Surveillance Networks." In Software Radio, 129–42. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0343-1_11.

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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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Mitola, J. "SDR Architecture for US Tactical Radios." In Software Radio, 157–64. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0343-1_13.

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Pensel, Karlheinz. "A Multiband, Multirole and Multimode Suited Radio Architecture." In Software Radio, 165–71. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0343-1_14.

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Jamin, Antony, Petri Mähönen, and Zach Shelby. "Software Radio Implementability of Wireless LANs." In Software Radio, 173–85. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0343-1_15.

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Higgins, Robert F., and Charles C. Herndon. "JCIT, A Production-Ready Field Tested Non- Proprietary Software Definable Radio." In Software Radio, 187–97. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0343-1_16.

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Conference papers on the topic "Software radio"

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Chapin, John. "Software radio." In the 5th ACM/IEEE Symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1882486.1882487.

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Harris, Frederic J. "Software defined radio." In 2008 International Conference on Signals and Electronic Systems. IEEE, 2008. http://dx.doi.org/10.1109/icses.2008.4673338.

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Case, David A. "Software defined radio and cognitive radio techniques." In 2008 IEEE International Symposium on Electromagnetic Compatibility - EMC 2008. IEEE, 2008. http://dx.doi.org/10.1109/isemc.2008.4652193.

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Hussain, Sajjad. "From software defined radio to cognitive radio." In 2012 International Conference on Emerging Technologies (ICET). IEEE, 2012. http://dx.doi.org/10.1109/icet.2012.6375508.

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Zumbul, Adem, Gulefsan Bozkurt, and Tuna Tugcu. "Software Defined Radio architecture for cognitive radio." In 2008 IEEE 16th Signal Processing, Communication and Applications Conference (SIU). IEEE, 2008. http://dx.doi.org/10.1109/siu.2008.4632740.

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Zitouni, Rafik, and Laurent George. "Output power analysis of a software defined radio device." In 2016 IEEE Radio and Antenna Days of the Indian Ocean (RADIO). IEEE, 2016. http://dx.doi.org/10.1109/radio.2016.7771996.

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Park, Yongtae, JeongGil Ko, and Hyogon Kim. "Demo: software defined radio." In MobiCom'14: The 20th Annual International Conference on Mobile Computing and Networking. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2639108.2641742.

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Park, Yongtae, Jiung Yu, JeongGil Ko, and Hyogon Kim. "Software radio on smartphones." In HotMobile '14: 15th Workshop on Mobile Computing Systems and Applications. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2565585.2565594.

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Panfilov, Oleg, Ron Hickling, Tony Turgeon, and Kelly McClellan. "Direct conversion software radio." In the 3rd international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1292331.1292388.

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Deval, Yann, Francois Rivet, Yoan Veyrac, Nicolas Regimbal, Patrick Garrec, Richard Montigny, Didier Belot, and Thierry Taris. "Full Software Radio transceivers." In 2013 IEEE 10th International Conference on ASIC (ASICON 2013). IEEE, 2013. http://dx.doi.org/10.1109/asicon.2013.6811860.

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Reports on the topic "Software radio"

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Bose, Vanu G. ITSY Handheld Software Radio. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada397932.

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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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Akos, Dennis M., and Per Enge. GPS Software Radio. Direct RF Sampling Research. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada405448.

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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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Yu, Paul, John Baras, and Brian Sadler. An Implementation of Physical Layer Authentication Using Software Radio. Fort Belvoir, VA: Defense Technical Information Center, July 2009. http://dx.doi.org/10.21236/ada502531.

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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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Verma, Gunjan, and Paul Yu. A MATLAB Library for Rapid Prototyping of Wireless Communications Algorithms with the Universal Software Radio Peripheral (USRP) Radio Family. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada586682.

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