Position Location Techniques and Applications
96,95 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
15.05.2009
Verlag
Elsevier Science & Techn.Seitenzahl
296 (Printausgabe)
Sprache
Englisch
EAN
9780080921938
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
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