Chapter 1. Introduction
Section 1.1. Motivation
Section 1.2. Wireless Signaling Environment
Section 1.3. Basic Receiver Signal Processing for Wireless
Section 1.4. Outline of the Book
Chapter 3. Group-Blind Multiuser Detection
Section 3.1. Introduction
Section 3.2. Linear Group-Blind Multiuser Detection for Synchronous CDMA
Section 3.3. Performance of Group-Blind Multiuser Detectors
Section 3.4. Nonlinear Group-Blind Multiuser Detection for Synchronous CDMA
Section 3.5. Group-Blind Multiuser Detection in Multipath Channels
Section 3.6. Appendix
Chapter 4. Robust Multiuser Detection in Non-Gaussian Channels
Section 4.1. Introduction
Section 4.2. Multiuser Detection via Robust Regression
Section 4.3. Asymptotic Performance of Robust Multiuser Detection
Section 4.4. Implementation of Robust Multiuser Detectors
Section 4.5. Robust Blind Multiuser Detection
Section 4.6. Robust Multiuser Detection Based on Local Likelihood Search
Section 4.7. Robust Group-Blind Multiuser Detection
Section 4.8. Extension to Multipath Channels
Section 4.9. Robust Multiuser Detection in Stable Noise
Section 4.10. Appendix
Chapter 5. Space-Time Multiuser Detection
Section 5.1. Introduction
Section 5.2. Adaptive Array Processing in TDMA Systems
Section 5.3. Optimal Space-Time Multiuser Detection
Section 5.4. Linear Space-Time Multiuser Detection
Section 5.5. Adaptive Space-Time Multiuser Detection in Synchronous CDMA
Section 5.6. Adaptive Space-Time Multiuser Detection in Multipath CDMA
Chapter 6. Turbo Multiuser Detection
Section 6.1. Introduction to Turbo Processing
Section 6.2. MAP Decoding Algorithm for Convolutional Codes
Section 6.3. Turbo Multiuser Detection for Synchronous CDMA
Section 6.4. Turbo Multiuser Detection with Unknown Interferers
Section 6.5. Turbo Multiuser Detection in CDMA with Multipath Fading
Section 6.6. Turbo Multiuser Detection in CDMA with Turbo Coding
Section 6.7. Turbo Multiuser Detection in Space-Time Block-Coded Systems
Section 6.8. Turbo Multiuser Detection in Space-Time Trellis-Coded Systems
Section 6.9. Appendix
Chapter 7. Narrowband Interference Suppression
Section 7.1. Introduction
Section 7.2. Linear Predictive Techniques
Section 7.3. Nonlinear Predictive Techniques
Section 7.4. Code-Aided Techniques
Section 7.5. Performance Comparisons of NBI Suppression Techniques
Section 7.6. Near–Far Resistance to Both NBI and MAI by Linear MMSE Detector
Section 7.7. Adaptive Linear MMSE NBI Suppression
Section 7.8. Maximum-Likelihood Code-Aided Method
Section 7.9. Appendix: Convergence of the RLS Linear MMSE Detector
Chapter 8. Monte Carlo Bayesian Signal Processing
Section 8.1. Introduction
Section 8.2. Bayesian Signal Processing
Section 8.3. Markov Chain Monte Carlo Signal Processing
Section 8.4. Bayesian Multiuser Detection via MCMC
Section 8.5. Sequential Monte Carlo Signal Processing
Section 8.6. Blind Adaptive Equalization of MIMO Channels via SMC
Section 8.7. Appendix
Chapter 9. Signal Processing for Fading Channels
Section 9.1. Introduction
Section 9.2. Statistical Modeling of Multipath Fading Channels
Section 9.3. Coherent Detection in Fading Channels Based on the EM Algorithm
Section 9.4. Decision-Feedback Differential Detection in Fading Channels
Section 9.5. Adaptive SMC Receivers for Flat-Fading Channels
Section 9.6. Appendix
Chapter 10. Advanced Signal Processing for Coded OFDM Systems
Section 10.1. Introduction
Section 10.2. OFDM Communication System
Section 10.3. Blind MCMC Receiver for Coded OFDM with Frequency-Selective Fading and Frequency Offset
Section 10.4. Pilot-Symbol-Aided Turbo Receiver for Space-Time Block-Coded OFDM Systems
Section 10.5. LDPC-Based Space-Time Coded OFDM Systems
Section 10.6. Appendix