Efficient Signal Processing Techniques in Advanced Wireless Systems | Symbols Detection Techniques in Multi-Antenna Wireless Systems

Adnan Khan

ISBN 10: 3838374029 / ISBN 13: 9783838374024

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

Efficient Signal Processing Techniques in Advanced Wireless Systems | Symbols Detection Techniques in Multi-Antenna Wireless Systems | Adnan Khan | Taschenbuch | 168 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838374024 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Bibliographic Details

• Title: Efficient Signal Processing Techniques in Advanced Wireless Systems | Symbols Detection Techniques in Multi-Antenna Wireless Systems
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3838374029
• ISBN 13: 9783838374024
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 268 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Significant performance gains are achievable in wireless systems using a Multi-Input Multi-Output (MIMO) communication system employing multiple antennas.This architecture is suitable for higher data rate multimedia communications.One of the challenges in building a MIMO system is the tremendous processing power required at the receiver. MIMO Symbol detection involves detecting symbol from a complex signal at the receiver. Nature Inspired techniques for non-linear approximate MIMO detectors with a low complexity near-optimal performance is presented. The approach is particularly attractive as Swarm Intelligence (SI) is well suited for physically realizable, real- time applications, where low complexity and fast convergence is of absolute importance. Application of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithms is studied. While an optimal Maximum Likelihood (ML) detection using an exhaustive search method is prohibitively complex, it is established that Swarm Intelligence optimized MIMO detection algorithms gives near-optimal Bit Error Rate (BER) performance, thereby reducing the ML computational complexity significantly

About the Author

Dr Adnan A. Khan did PhD from Centre for Advanced Studies in Engineering(CASE)UET Taxila, Pakistan in Wireless Systems.He is working in College of Telecommunication Engineering (NUST).His research interests include Multi-Input Multi-Output (MIMO)-OFDM, Cooperative Communication, Software Defined Radio's (SDR)and Satellite Communication System.