Auswahl der wissenschaftlichen Literatur zum Thema „Real-time software-defined radio systems“
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Zeitschriftenartikel zum Thema "Real-time software-defined radio systems"
Sivokon, V. P., und D. V. Lapshov. „SOFTWARE DEFINED RADIO TECHNOLOGY IN THE TASKS OF RADIONOISE CONTROL“. Bulletin оf Kamchatka State Technical University, Nr. 58 (2021): 17–28. http://dx.doi.org/10.17217/2079-0333-2021-58-17-28.
Der volle Inhalt der QuelleDuarte, Luis, Rodolfo Gomes, Carlos Ribeiro und Rafael F. S. Caldeirinha. „A Software-Defined Radio for Future Wireless Communication Systems at 60 GHz“. Electronics 8, Nr. 12 (06.12.2019): 1490. http://dx.doi.org/10.3390/electronics8121490.
Der volle Inhalt der QuelleRadu, Florin, Petru A. Cotfas, Marian Alexandru, Titus C. Bălan, Vlad Popescu und Daniel T. Cotfas. „Signals Intelligence System with Software-Defined Radio“. Applied Sciences 13, Nr. 8 (21.04.2023): 5199. http://dx.doi.org/10.3390/app13085199.
Der volle Inhalt der QuelleBargarai, Faiq A. Mohammed, Adnan Mohsin Abdulazeez, Volkan Müjdat Tiryaki und Diyar Qader Zeebaree. „Management of Wireless Communication Systems Using Artificial Intelligence-Based Software Defined Radio“. International Journal of Interactive Mobile Technologies (iJIM) 14, Nr. 13 (14.08.2020): 107. http://dx.doi.org/10.3991/ijim.v14i13.14211.
Der volle Inhalt der QuelleȘorecău, Mirela, Emil Șorecău, Annamaria Sârbu und Paul Bechet. „Real-Time Statistical Measurement of Wideband Signals Based on Software Defined Radio Technology“. Electronics 12, Nr. 13 (03.07.2023): 2920. http://dx.doi.org/10.3390/electronics12132920.
Der volle Inhalt der QuelleGhiaasi, Golsa, Thomas Blazek, Mehdi Ashury, Rute Ramalho Santos und Christoph Mecklenbräuker. „Real-Time Emulation of Nonstationary Channels in Safety-Relevant Vehicular Scenarios“. Wireless Communications and Mobile Computing 2018 (08.05.2018): 1–11. http://dx.doi.org/10.1155/2018/2423837.
Der volle Inhalt der QuelleAbdelkareem, A. E., Saad Mohammed Saleh und Ammar D. Jasim. „Design and Implementation of an Embedded System for Software Defined Radio“. International Journal of Electrical and Computer Engineering (IJECE) 7, Nr. 6 (01.12.2017): 3484. http://dx.doi.org/10.11591/ijece.v7i6.pp3484-3491.
Der volle Inhalt der QuelleHoltom, Jacob, Andrew Herschfelt, Isabella Lenz, Owen Ma, Hanguang Yu und Daniel W. Bliss. „WISCANet: A Rapid Development Platform for Beyond 5G and 6G Radio System Prototyping“. Signals 3, Nr. 4 (09.10.2022): 682–707. http://dx.doi.org/10.3390/signals3040041.
Der volle Inhalt der QuelleStef, Mihai Petru, und Zsolt Alfred Polgar. „Software Platform for the Comprehensive Testing of Transmission Protocols Developed in GNU Radio“. Information 15, Nr. 1 (20.01.2024): 62. http://dx.doi.org/10.3390/info15010062.
Der volle Inhalt der QuelleRestuccia, Francesco, und Tommaso Melodia. „Toward Polymorphic Internet of Things Receivers Through Real-Time Waveform-Level Deep Learning“. GetMobile: Mobile Computing and Communications 25, Nr. 3 (07.01.2022): 28–33. http://dx.doi.org/10.1145/3511285.3511294.
Der volle Inhalt der QuelleDissertationen zum Thema "Real-time software-defined radio systems"
McGinley, James W. „Real-time software-defined-radio implementation of a two source distributed beamformer“. Worcester, Mass. : Worcester Polytechnic Institute, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-010807-213448.
Der volle Inhalt der QuelleYu, Kevin Z. „Scalable Cognitive Radio Network Testbed in Real Time“. DigitalCommons@CalPoly, 2021. https://digitalcommons.calpoly.edu/theses/2338.
Der volle Inhalt der QuelleWang, Tsu-Han. „Real-time Software Architectures and Performance Evaluation Methods for 5G Radio Systems“. Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS362.pdf.
Der volle Inhalt der QuelleThe thesis deals with 5G real-time Software Defined Radio architectures. In order to match 5G performance requirements, computational acceleration combined with real-time process scheduling methods are required. In 5G embedded systems acceleration amounts to a judicious combination additional hardware units for the most computationally costly functions with software for simpler arithmetic and complex control procedures. Fully software-based solutions are also appearing for certain applications, in particular in the so-called Open Radio-Access Network (openRAN) ecosystem. The contributions of this thesis lie in methods for purely software-based acceleration and real-time control of low-latency fronthaul interfaces. Since 5G has stringent latency requirements and support for very high-speed data traffic, methods for scheduling baseband processing need to be tailored to the specifics of the air-interface. Specifically, we propose a functional decomposition of the 5G air interface which is amenable to multi-core software implementations targeting high-end servers exploiting single-instruction multiple-data (SIMD) acceleration. Moreover, we provide some avenues for multi-threaded processing through pipelining and the use of thread pools. We highlight the methods and their performance evaluation that have been exploited during the development of the OpenAirInterface 5G implementation
Iturbe, Xabier. „Design and implementation of a reliable reconfigurable real-time operating system (R3TOS)“. Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/9413.
Der volle Inhalt der QuelleZhang, Boyang. „Real-time software-defined-radio implementation of time-slotted carrier synchronization for distributed beamforming“. Worcester, Mass. : Worcester Polytechnic Institute, 2009. http://www.wpi.edu/Pubs/ETD/Available/etd-050509-200154/.
Der volle Inhalt der QuelleKeywords: distributed beamforming; carrier synchronization; software-defined-radio; sensor networks; wireless networks; cooperative transmission; virtual antenna arrays. Includes bibliographical references (leaves 168-169).
Marojevic, Vuk. „Computing resource management in software-defined and cognitive radios“. Doctoral thesis, Universitat Politècnica de Catalunya, 2010. http://hdl.handle.net/10803/78033.
Der volle Inhalt der QuelleEl objetivo de las investigaciones que se están llevando a cabo dentro del grupo de investigación es contribuir a la evolución de las radiocomunicaciones modernas y, en particular, al desarrollo de los conceptos software radio (SDR) y cognitive radio. El planteamiento general es el de extender la flexibilidad global del sistema de comunicaciones planteando la definición y desarrollo de un entorno en el que pudiesen explorarse las relaciones entre la computación y las prestaciones del sistema de comunicaciones móviles facilitando la integración de los recursos de computación con los recursos radio. Dentro de este marco, la presente tesis plantea la discusión de la necesidad de la gestión de los recursos de computación en entornos SDR y cognitive radio y define un entorno de operación que asume las características especificas del concepto SDR a la vez que incorpora capacidades cognitivas en la gestión de los recursos de computación de las plataformas que den soporte a las nuevas generaciones de sistemas móviles. Los estrictos requerimientos de procesado en tiempo real de las cadenas de procesado digital de la señal definidas por software (aplicaciones SDR), las implicaciones asociadas con la propagación radio y el concepto de calidad de servicio (QoS) y plataformas heterogéneas de múltiples procesadores con recursos de computo limitados (plataformas SDR) definen el contexto de estos estudios. Se examinan técnicas de cómputo de propósito general para definir un entorno de operación que fuese capaz de asignar de forma flexible y dinámica los recursos de cómputo necesarios para facilitar las radiocomunicaciones a los niveles de QoS deseados. Ello debería facilitar los cambios dinámicos de una tecnología de acceso radio a otra, permitiendo el ajuste del tipo de servicio o calidad de servicio en función de las preferencias de los usuarios y las condiciones del entorno. Dicho entorno de operación asume las potencialidades del platform and hardware abstraction layer operating environment (P-HAL-OE). La estructura del entorno de operación se define de forma modular y consiste en un modelado genérico y flexible de las plataformas de computación SDR y en una gestión de recursos de computación abierta y capaz de ajustarse a diferentes objetivos y políticas. En el trabajo se exponen dos técnicas de gestión que pretenden asegurar la consecución estricta de los límites temporales típicos de los sistemas en tiempo real. En cuanto al modelado, este es escalable y capaz de capturar un amplio abanico de arquitecturas hardware y recursos de computación. En el presente trabajo nos centramos en los recursos y requerimientos del procesado y transferencia de datos. Se introduce un algoritmo de mapeo genérico e independiente de la función de coste. La independencia entre el algoritmo y la función de coste facilita la implementación de diferentes políticas de gestión de recursos computacionales. El tw-mapping es un algoritmo basado en dynamic programming, donde w controla la ventana de decisión. Se presenta una función de coste genérica y parametrizable que permite guiar el proceso de gestión de los recursos. Una instancia de ella facilita encontrar una solución al proceso de asignación de recursos que cumpla todos los requerimientos de procesado y trasferencia de datos de las aplicaciones SDR con los recursos disponibles de las plataformas SDR. Diferentes escenarios y varios análisis basados en simulaciones demuestran la adecuación del entorno de trabajo definido y desarrollado, así como sus potencialidades para una gestión flexible de los recursos de cómputo. Se extienden los conceptos mencionados previamente para entornos cognitive radio. Los principales objetivos del concepto cognitive radio son la disponibilidad de comunicaciones altamente robustas en cualquier lugar y momento en que sean necesarias y el uso eficiente del espectro. Como tercer objetivo formulamos el uso eficiente de los recursos de cómputo. Analizamos las capacidades cognitivas de nuestro entorno de operación─la interfaz del sistema cognitive radio a las plataformas SDR─y resaltamos las potencialidades de nuestra propuesta de gestión cognitiva de los recursos computacionales. Dicha gestión cognitiva de los recursos computacionales plantea una integración con la gestión de los recursos radio. Para ello introducimos el concepto de gestión de recursos conjunta para entornos cognitive radio. Se presentan tres ciclos cognitivos y se discuten algunas interrelaciones entre los recursos radio, de cómputo y de aplicación, donde los recursos de aplicación se refieren a las aplicaciones SDR y de usuario disponibles. Nuestra propuesta de gestión de recursos conjunta potencia la flexibilidad y facilita los intercambios entre recursos radio y de computación
Reed, Rachel E. „Real-Time Implementation and Analysis of Chip Shape-based Software Defined Receiver“. University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1493634316594274.
Der volle Inhalt der QuelleKarlsson, David. „Hardware for positioning applications using software defined radio : High speed interfaces with real time constraints“. Thesis, Linköping University, Department of Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6105.
Der volle Inhalt der QuelleThis thesis has theoretically and practically evaluated interfaces between a radio front end for GPS and a mobile platform to answer the question how should this interface be designed to minimize the computational load on the platform as well as costs. Benchmarking of serial peripheral interface and a glueless one bit interface is performed on MPC5200 and OMAP 1710 running Linux operating system.
The conclusion is two different design approaches, one based on serial peripheral interface and one on SDIO card.
Buffer sizes in the platform and the front end is the key factor for computational load and this is discussed in detail. Also other consideration for interface design is discussed such as the implications of front end being master or slave on the bus.
Fang, Hongjie [Verfasser], und Roman [Gutachter] Obermaisser. „Execution environment for integrated real-time systems based on software-defined networking / Hongjie Fang ; Gutachter: Roman Obermaisser“. Siegen : Universitätsbibliothek der Universität Siegen, 2019. http://d-nb.info/1213521734/34.
Der volle Inhalt der QuelleKippenberger, Roger Miles. „On Real Time Digital Phase Locked Loop Implementation with Application to Timing Recovery“. Thesis, University of Canterbury. Electrical and Computer Engineering, 2006. http://hdl.handle.net/10092/1146.
Der volle Inhalt der QuelleBücher zum Thema "Real-time software-defined radio systems"
Beattie, R. Mark, Anil Dhawan und John W.L. Puntis. Acute liver failure. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198569862.003.0063.
Der volle Inhalt der QuelleRobert, Philippe, Elsa Leone, Hélène Amieva und David Renaud. Managing behavioural and psychological symptoms in Alzheimer’s disease. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198779803.003.0009.
Der volle Inhalt der QuelleSherwood, Dennis, und Paul Dalby. Chemical equilibrium and chemical kinetics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782957.003.0014.
Der volle Inhalt der QuelleHendrickx, Jan F. A., André van Zundert und Andre De Wolf. Inhaled anaesthetics. Herausgegeben von Michel M. R. F. Struys. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0014.
Der volle Inhalt der QuelleDe Laurentis, Giacomo, Eugenio Alaio, Elisa Corsi, Emanuelemaria Giusti, Marco Guairo, Carlo Palego, Luca Paulicelli et al. Rischio di credito 2.0. AIFIRM, 2021. http://dx.doi.org/10.47473/2016ppa00030.
Der volle Inhalt der QuelleDowd, Cate. Digital Journalism, Drones, and Automation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190655860.001.0001.
Der volle Inhalt der QuelleBuchteile zum Thema "Real-time software-defined radio systems"
Abdullahi, Aliyu Buba, Rafael F. S. Caldeirinha, Akram Hammoudeh, Leshan Uggalla und Jon Eastment. „Real Time Multiuser-MIMO Beamforming/Steering Using NI-2922 Universal Software Radio Peripheral“. In Lecture Notes in Networks and Systems, 28–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12388-8_3.
Der volle Inhalt der QuelleLiu, Weili, Cheng Jin, Jiajun Bu und Chun Chen. „Real-Time Expression Mapping with Ratio Image“. In Embedded Software and Systems, 586–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11599555_56.
Der volle Inhalt der QuelleGoswami, Bhargavi, Shuwen Hu und Yanming Feng. „Software-Defined Networking for Real-Time Network Systems“. In Handbook of Real-Time Computing, 935–59. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-287-251-7_69.
Der volle Inhalt der QuelleGoswami, Bhargavi, Shuwen Hu und Yanming Feng. „Software-Defined Networking for Real-Time Network Systems“. In Handbook of Real-Time Computing, 1–25. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-4585-87-3_69-1.
Der volle Inhalt der QuelleSavvidis, Dimitrios, Janis Marrek und Dietmar Tutsch. „Software-Defined Networking with Prioritization for a Redundant Network Topology Called Double Wheel Topology“. In Real-time and Autonomous Systems 2022, 82–87. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32700-1_9.
Der volle Inhalt der QuelleTonello, Andrea M., Nicola Laurenti und Silvano Pupolin. „Capacity Considerations on the Uplink of a Multi-user DMT OFDMA System Impaired by Time Misalignments and Frequency Offsets“. In Software Radio, 93–104. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0343-1_8.
Der volle Inhalt der QuelleOechsle, Stefan, Moritz Walker, Marc Fischer, Florian Frick, Armin Lechler und Alexander Verl. „Real-Time Capable Architecture for Software-Defined Manufacturing“. In Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains, 3–13. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_1.
Der volle Inhalt der QuelleMarriwala, Nikhil, O. P. Sahu und Anil Vohra. „Real-Time Analysis of Low-Cost Software-Defined Radio Transceiver Using ZigBee Protocol“. In International Conference on Intelligent Computing and Smart Communication 2019, 1151–69. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0633-8_115.
Der volle Inhalt der QuelleVishnupriya, A., Hirankumar Singh und V. Surya Prakash Reddy. „Self-Regulating Real-Time Server Log Monitoring Using Software-Defined Networking“. In Proceedings of Third International Conference on Communication, Computing and Electronics Systems, 933–42. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8862-1_61.
Der volle Inhalt der QuelleShaolong, Zhi, Fang Dong, Liu Xun, Li Yu und Huang Haining. „Modularized Real-Time Communication Modem Design Based on Software Defined Radio of Underwater Acoustic Network“. In Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering, 1197–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31698-2_168.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Real-time software-defined radio systems"
Jung Ko, V. C. Gaudet und R. Hang. „Tier 3 software defined AM radio“. In Fifth International Workshop on System-on-Chip for Real-Time Applications (IWSOC'05). IEEE, 2005. http://dx.doi.org/10.1109/iwsoc.2005.31.
Der volle Inhalt der QuelleSarbu, Annamaria, Emil Sorecau, Mirela Sorecau, Simona Miclaus und Paul Bechet. „Real-time isotropic measurement system based on Software Defined Radio“. In 2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC). IEEE, 2022. http://dx.doi.org/10.1109/estc55720.2022.9939503.
Der volle Inhalt der QuelleÖzkan, Lütfullah, Saliha Büyükçorak und Güneş Karabulut Kurt. „Real-Time RF Energy Harvesting System with Software Defined Radio“. In 2023 31st Signal Processing and Communications Applications Conference (SIU). IEEE, 2023. http://dx.doi.org/10.1109/siu59756.2023.10223829.
Der volle Inhalt der QuelleEgbert, Austin, Benjamin H. Kirk, Charles Baylis, Anthony Martone und Robert J. Marks. „Fast Software-Defined Radio-based System Performance Evaluation for Real-time Adaptive RF Systems“. In 2020 95th ARFTG Microwave Measurement Conference (ARFTG). IEEE, 2020. http://dx.doi.org/10.1109/arftg47271.2020.9241369.
Der volle Inhalt der QuelleRobert, Helbet, Bechet Paul, Miclaus Simona und Sarbu Annamaria. „Real Time Broadband Electromagnetic Spectrum Monitoring System based on Software Defined Radio Technology“. In 2021 9th International Conference on Modern Power Systems (MPS). IEEE, 2021. http://dx.doi.org/10.1109/mps52805.2021.9492577.
Der volle Inhalt der QuelleNayak, Monalisa, Urmila Bhanja, Debapriya Parida, Dillip Dash und Kodanda Dhar Sa. „A real time implementation of spectrum sensing system using software defined radio“. In 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2017. http://dx.doi.org/10.1109/icicict1.2017.8342631.
Der volle Inhalt der QuelleLiu, Xiong, Qiming Sun, Shuai Zhang, Kun Chen und Song Song. „Real-Time Transmission of ROF-FSO Hybrid System Using Software Defined Radio“. In 2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN). IEEE, 2022. http://dx.doi.org/10.1109/icicn56848.2022.10006420.
Der volle Inhalt der QuelleFriedt, J. M., W. Feng, D. Rabus und G. Goavec-Merou. „Real time GNSS spoofing detection and cancellation on embedded systems using Software Defined Radio“. In 2021 15th European Conference on Antennas and Propagation (EuCAP). IEEE, 2021. http://dx.doi.org/10.23919/eucap51087.2021.9411053.
Der volle Inhalt der QuelleTerrazas Gonzalez, Jesus David, und Wai-keung Fung. „A pilot study on aeronautical surveillance system for drone delivery using heterogeneous software defined radio framework“. In 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2017. http://dx.doi.org/10.1109/rcar.2017.8311912.
Der volle Inhalt der QuelleCheng, Xing, und Ming Zhao. „A Method to Guarantee Real-Time for Software-Defined Radio in User-Space“. In 2016 International Conference on Information System and Artificial Intelligence (ISAI). IEEE, 2016. http://dx.doi.org/10.1109/isai.2016.0070.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Real-time software-defined radio systems"
Grabner, Mitchel, und 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.
Der volle Inhalt der QuelleOlsen. PR-179-07200-R01 Evaluation of NOx Sensors for Control of Aftertreatment Devices. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), Juni 2008. http://dx.doi.org/10.55274/r0010985.
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