Wireless Communication Systems Advanced Techniques for Signal Reception (paperback)

by Wang, Xiaodong; Poor, H. Vincent

• ISBN13: 9780137020805
• ISBN10: 0137020805
• Edition: 1st
• Format: Paperback
• Copyright: 2003-09-12
• Publisher: Prentice Hall

Summary

Appropriate for all courses in wireless receiver design, and for advanced courses in signal processing.As the performance and power requirements for wireless devices become increasingly challenging, engineers have recognized that advanced signal processing techniques are more crucial than ever. This book presents a unified framework for understanding the state-of-the-art in signal processing for wireless communications.Dr. Xiadong Wang and Dr. H. Vincent Poor focus on the development, analysis, and use of explicit algorithms for performing advanced processing tasks that arise in receiver design for emerging wireless systems, and provide a comprehensive set of algorithms for addressing physical issues, including multi-path, dispersion, interference, dynamism, and multiple-antenna systems. Many of the methods detailed here were developed by the co-authors themselves, notably in the areas of turbo processing, multiple-antenna systems, and low-complexity adaptive algorithms.

Author Biography

XIAODONG WANG, Assistant Professor in the Department of Electrical Engineering, ColumbiaUniversity, has done extensive research in wireless communications and signal processing. Hereceived the National Science Foundation Career Award and the IEEE Communications Society andInformation Theory Society Joint Paper Award.

H. VINCENT POOR, Professor of Electrical Engineeringat Princeton University, currently researches statistical signal processing applications inwireless communications. An IEEE Fellow and member of the National Academy of Engineering, he hasreceived the ASEE Frederick E. Terman Award, the IEEE Graduate Teaching Award, the NSF Director'sAward for Distinguished Teaching Scholars, and a Guggenheim Fellowship.

Table of Contents

Preface

Introduction

Motivation

Wireless Signaling Environment

Basic Receiver Signal Processing for Wireless

Outline of the Book

Blind Multiuser Detection

Introduction

Linear Receivers for Synchronous CDMA

Blind Multiuser Detection: Direct Methods

Blind Multiuser Detection: Subspace Methods

Performance of Blind Multiuser Detectors

Subspace Tracking Algorithms

Blind Multiuser Detection in Multipath Channels

Appendix

Group-Blind Multiuser Detection

Introduction

Linear Group-Blind Multiuser Detection for Synchronous CDMA

Performance of Group-Blind Multiuser Detectors

Nonlinear Group-Blind Multiuser Detection for Synchronous CDMA

Group-Blind Multiuser Detection in Multipath Channels

Appendix

Robust Multiuser Detection in Non-Gaussian Channels

Introduction

Multiuser Detection via Robust Regression

Asymptotic Performance of Robust Multiuser Detection

Implementation of Robust Multiuser Detectors

Robust Blind Multiuser Detection

Robust Multiuser Detection Based on Local Likelihood Search

Robust Group-Blind Multiuser Detection

Extension to Multipath Channels

Robust Multiuser Detection in Stable Noise

Appendix

Space-Time Multiuser Detection

Introduction

Adaptive Array Processing in TDMA Systems

Optimal Space-Time Multiuser Detection

Linear Space-Time Multiuser Detection

Adaptive Space-Time Multiuser Detection in Synchronous CDMA

Adaptive Space-Time Multiuser Detection in Multipath CDMA

Turbo Multiuser Detection

Introduction to Turbo Processing

MAP Decoding Algorithm for Convolutional Codes

Turbo Multiuser Detection for Synchronous CDMA

Turbo Multiuser Detection with Unknown Interferers

Turbo Multiuser Detection in CDMA with Multipath Fading

Turbo Multiuser Detection in CDMA with Turbo Coding

Turbo Multiuser Detection in Space-Time Block-Coded Systems

Turbo Multiuser Detection in Space-Time Trellis-Coded Systems

Appendix

Narrowband Interference Suppression

Introduction

Linear Predictive Techniques

Nonlinear Predictive Techniques

Code-Aided Techniques

Performance Comparisons of NBI Suppression Techniques

Near.Far Resistance to Both NBI and MAI by Linear MMSE Detector

Adaptive Linear MMSE NBI Suppression

Maximum-Likelihood Code-Aided Method

Appendix: Convergence of the RLS Linear MMSE Detector

Monte Carlo Bayesian Signal Processing

Introduction

Bayesian Signal Processing

Markov Chain Monte Carlo Signal Processing

Bayesian Multiuser Detection via MCMC

Sequential Monte Carlo Signal Processing

Blind Adaptive Equalization of MIMO Channels via SMC

Appendix

Signal Processing For Fading Channels

Introduction

Statistical Modeling of Multipath Fading Channels

Coherent Detection in Fading Channels Based on the EM Algorithm

Decision-Feedback Differential Detection in Fading Channels

Adaptive SMC Receivers for Flat-Fading Channels

Appendix

Advanced Signal Processing for Coded OFDM Systems

Introduction

OFDM Communication System

Blind MCMC Receiver for Coded OFDM with Frequency-Selective Fading and Frequency Offset

Pilot-Symbol-Aided Turbo Receiver for Space-Time Block-Coded OFDM Systems

LDPC-Based Space-Time Coded OFDM Systems

Appendix

Acronyms

Bibliography

Index

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