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Wireless Communication Systems: Advanced Techniques for Signal Reception (paperback)
Wireless Communication Systems: Advanced Techniques for Signal Reception (paperback)
ISBN: 0137020805
EAN: 2147483647
Year: 2003
Pages: 91
Authors:
Xiaodong Wang
,
H. Vincent Poor
BUY ON AMAZON
Main Page
Table of content
Copyright
Prentice Hall Communications Engineering and Emerging Technologies Series
About Prentice Hall Professional Technical Reference
Preface
Acknowledgments
Chapter 1. Introduction
1.1 Motivation
1.2 Wireless Signaling Environment
1.3 Basic Receiver Signal Processing for Wireless
1.4 Outline of the Book
Chapter 2. Blind Multiuser Detection
2.1 Introduction
2.2 Linear Receivers for Synchronous CDMA
2.3 Blind Multiuser Detection: Direct Methods
2.4 Blind Multiuser Detection: Subspace Methods
2.5 Performance of Blind Multiuser Detectors
2.6 Subspace Tracking Algorithms
2.7 Blind Multiuser Detection in Multipath Channels
2.8 Appendix
Chapter 3. Group-Blind Multiuser Detection
3.1 Introduction
3.2 Linear Group-Blind Multiuser Detection for Synchronous CDMA
3.3 Performance of Group-Blind Multiuser Detectors
3.4 Nonlinear Group-Blind Multiuser Detection for Synchronous CDMA
3.5 Group-Blind Multiuser Detection in Multipath Channels
3.6 Appendix
Chapter 4. Robust Multiuser Detection in Non-Gaussian Channels
4.1 Introduction
4.2 Multiuser Detection via Robust Regression
4.3 Asymptotic Performance of Robust Multiuser Detection
4.4 Implementation of Robust Multiuser Detectors
4.5 Robust Blind Multiuser Detection
4.6 Robust Multiuser Detection Based on Local Likelihood Search
4.7 Robust Group-Blind Multiuser Detection
4.8 Extension to Multipath Channels
4.9 Robust Multiuser Detection in Stable Noise
4.10 Appendix
Chapter 5. Space-Time Multiuser Detection
5.1 Introduction
5.2 Adaptive Array Processing in TDMA Systems
5.3 Optimal Space-Time Multiuser Detection
5.4 Linear Space-Time Multiuser Detection
5.5 Adaptive Space-Time Multiuser Detection in Synchronous CDMA
5.6 Adaptive Space-Time Multiuser Detection in Multipath CDMA
Chapter 6. Turbo Multiuser Detection
6.1 Introduction to Turbo Processing
6.2 MAP Decoding Algorithm for Convolutional Codes
6.3 Turbo Multiuser Detection for Synchronous CDMA
6.4 Turbo Multiuser Detection with Unknown Interferers
6.5 Turbo Multiuser Detection in CDMA with Multipath Fading
6.6 Turbo Multiuser Detection in CDMA with Turbo Coding
6.7 Turbo Multiuser Detection in Space-Time Block-Coded Systems
6.8 Turbo Multiuser Detection in Space-Time Trellis-Coded Systems
6.9 Appendix
Chapter 7. Narrowband Interference Suppression
7.1 Introduction
7.2 Linear Predictive Techniques
7.3 Nonlinear Predictive Techniques
7.4 Code-Aided Techniques
7.5 Performance Comparisons of NBI Suppression Techniques
7.6 NearFar Resistance to Both NBI and MAI by Linear MMSE Detector
7.7 Adaptive Linear MMSE NBI Suppression
7.8 Maximum-Likelihood Code-Aided Method
7.9 Appendix: Convergence of the RLS Linear MMSE Detector
Chapter 8. Monte Carlo Bayesian Signal Processing
8.1 Introduction
8.2 Bayesian Signal Processing
8.3 Markov Chain Monte Carlo Signal Processing
8.4 Bayesian Multiuser Detection via MCMC
8.5 Sequential Monte Carlo Signal Processing
8.6 Blind Adaptive Equalization of MIMO Channels via SMC
8.7 Appendix
Chapter 9. Signal Processing for Fading Channels
9.1 Introduction
9.2 Statistical Modeling of Multipath Fading Channels
9.3 Coherent Detection in Fading Channels Based on the EM Algorithm
9.4 Decision-Feedback Differential Detection in Fading Channels
9.5 Adaptive SMC Receivers for Flat-Fading Channels
9.6 Appendix
Chapter 10. Advanced Signal Processing for Coded OFDM Systems
10.1 Introduction
10.2 OFDM Communication System
10.3 Blind MCMC Receiver for Coded OFDM with Frequency-Selective Fading and Frequency Offset
10.4 Pilot-Symbol-Aided Turbo Receiver for Space-Time Block-Coded OFDM Systems
10.5 LDPC-Based Space-Time Coded OFDM Systems
10.6 Appendix
Acronyms
Bibliography
Wireless Communication Systems: Advanced Techniques for Signal Reception (paperback)
ISBN: 0137020805
EAN: 2147483647
Year: 2003
Pages: 91
Authors:
Xiaodong Wang
,
H. Vincent Poor
BUY ON AMAZON
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