Position Location Techniques and Applications
David Munoz · Frantz Bouchereau Lara · Cesar Vargas-Rosales · Rogerio Enriquez-Caldera
2009 оны 5-р сар · Academic Press
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5 шүүмж
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296
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This book is the definitive guide to the techniques and applications of position location, covering both terrestrial and satellite systems. It gives all the techniques, theoretical models, and algorithms that engineers need to improve their current location schemes and to develop future location algorithms and systems. Comprehensive coverage is given to system design trade-offs, complexity issues, and the design of efficient positioning algorithms to enable the creation of high-performance location positioning systems. Traditional methods are also reexamined in the context of the challenges posed by reconfigurable and multihop networks. Applications discussed include wireless networks (WiFi, ZigBee, UMTS, and DVB networks), cognitive radio, sensor networks and multihop networks. Features - Contains a complete guide to models, techniques, and applications of position location - Includes applications to wireless networks, demonstrating the relevance of location positioning to these "hot" areas in research and development - Covers system design trade-offs and the design of efficient positioning algorithms, enabling the creation of future location positioning systems - Provides a theoretical underpinning for understanding current position location algorithms, giving researchers a foundation to develop future algorithms David Muñoz is Director and César Vargas is a member of the Center for Electronics and Telecommunications, Tecnológico de Monterrey, Mexico. Frantz Bouchereau is a senior communications software developer at The MathWorks Inc. in Natick, MA. Rogerio Enríquez-Caldera is at Instituto Nacional de Atrofisica, Optica y Electronica (INAOE), Puebla, Mexico. - Contains a complete guide to models, techniques and applications of position location - Includes applications to wireless networks (WiFi, ZigBee, DVB networks), cognitive radio, sensor networks and reconfigurable and multi-hop networks, demonstrating the relevance of location positioning to these 'hot' areas in research and development - Covers system design trade-offs, and the design of efficient positioning algorithms enables the creation of future location positioning systems - Provides a theoretical underpinning for understanding current position location algorithms, giving researchers a foundation to develop future algorithms
This book is the definitive guide to the techniques and applications of position location, covering both terrestrial and satellite systems. It gives all the techniques, theoretical models, and algorithms that engineers need to improve their current location schemes and to develop future location ...
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Cesar Vargas-Rosales is a Senior Member of IEEE and faculty member at Tecnologico de Monterrey. He earned his M.Sc. and Ph.D. in Electrical Engineering from Louisiana State University, USA. His expertise includes B5G/6G, cognitive radio, massive MIMO systems, RIS, intrusion/anomaly detection in networks, localization, channel coding, and quantum machine learning. He coauthored two books on position location techniques and applications and radio wave propagation in vehicular environments. Cesar is an Associate Editor for IEEE ACCESS and chairs the IEEE Communications Society Monterrey Chapter. He is a member of the Mexican National Researchers System, Mexican Academy of Science, and Academy of Engineering of Mexico. He was part of the organizing committee for the Virtual Communications Conference (VCC24) and the Technical Program Chair of the IEEE Wireless Communications and Networking Conference (WCNC2011). He was a Distinguished Lecturer of the IEEE Communication Society from 2021 to 2023.
Cesar Vargas-Rosales is a Senior Member of IEEE and faculty member at Tecnologico de Monterrey. He earned his M.Sc. and Ph.D. in Electrical Engineering from Louisiana State University, USA. His expertise includes B5G/6G, cognitive radio, massive MIMO systems, RIS, intrusion/anomaly detection in n...
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