Signal Processing for Mobile Communication Systems Handbook

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Springer, 2005. — 812 p.
Signal processing (SP) is a key research area in mobile communications. The recent years have known a real explosion in research addressing different aspects of mobile communications signal processing. This area is continuously expanding with emerging applications and services such as interactive multimedia and Internet. SP has to meet the new challenges presented to future mobile communication systems such as very low bit error rates, very high transmission rates, real-time multimedia access, and differential quality of service (QoS).
Today’s publications in this area are scattered worldwide across multiple journals and conference proceedings. Like any other discipline that seeks to reach maturity, nowis the time for mobile communications signal processing to be presented to the readers in a comprehensive way and in one single book that stands by itself. This book brings together most SP techniques, delivering, for the first time in the history of SP, an in-depth survey of these techniques in a tutorial style.
The book is supported with more than 300 figures and tables, which makes it very easy to understand and accessible to students, researchers, professors, engineers, managers, and any professional involved in mobile communications.
The book investigates classical SP areas such as adaptive equalization, channel modeling and identification, multi-user detection, and array processing. It also investigates newer areas such as adaptive coded modulation, multiple-input multiple-output (MIMO) systems, diversity combining, and time-frequency analysis. It explores emerging techniques such as neural networks, Monte Carlo Markov Chain (MCMC) methods, and Chaos. It offers an excellent tutorial survey of promising approaches for future mobile communications such as cross-layer design in multi-access networks and adaptive wireless networks. In addition to wireless terrestrial communications, the book covers most applications areas of mobile communications signal processing, such as satellite mobile communications, networking, power control and resource management, voice over IP, positioning and geolocation, cross-layer design and adaptation, etc.
Introduction
Signal Processing for Future Mobile Communications Systems: Challenges and Perspectives
Channel Modeling and Estimation
Multipath Propagation Models for Broadband Wireless Systems
Modeling and Estimation of Mobile Channels
Mobile Satellite Channels: Statistical Models and Performance Analysis
Mobile Velocity Estimation for Wireless Communications
Modulation Techniques for Wireless Communications
Adaptive Coded Modulation for Transmission over Fading Channels
Signaling Constellations for Transmission over Nonlinear Channels
Carrier Frequency Synchronization for OFDM Systems
Filter-Bank Modulation Techniques for Transmission over Frequency-Selective Channels
Multiple Access Techniques
Spread-Spectrum Techniques for Mobile Communications
Multiuser Detection for Fading Channels
MIMO Systems
Principles of MIMO-OFDMWireless Systems
Space–Time Coding and Signal Processing for Broadband Wireless Communications
Linear Precoding for MIMO Systems
Performance Analysis of Multiple Antenna Systems
Equalization and Receiver Design
Equalization Techniques for Fading Channels
Low-Complexity Diversity Combining Schemes for Mobile Communications
Overview of Equalization Techniques for MIMO Fading Channels
Neural Networks for Transmission over Nonlinear Channels
Voice over IP
Voice over IP and Wireless: Principles and Challenges
Wireless Geolocation Techniques
Geolocation Techniques for Mobile Radio Systems
Adaptive Arrays for GPS Receivers
Power Control and Wireless Networking
Transmitter Power Control in Wireless Networking: Basic Principles and Core Algorithms
Signal Processing for Multiaccess Communication Networks
Emerging Techniques and Applications
Time–Frequency Signal Processing for Wireless Communications
Monte Carlo Signal Processing for Digital Communications: Principles and Applications
Principles of Chaos Communications
Adaptation Techniques and Enabling Parameter Estimation Algorithms for Wireless Communications Systems

Author(s): Ibnkahla M. (Ed.)

Language: English
Commentary: 684361
Tags: Приборостроение;Обработка сигналов