Gives students a single source for information on all the latest advances in signal processing techniques for signal reception.
Helps students understand the entire field of advanced signal processing for wireless communication systems, so they can identify the most appropriate techniques for each application or environment.
Helps students build more robust, higher-performance wireless systems.
Gives students state-of-the-art information and insights available in no other book.
A unified framework for using today's most advanced signal processing techniques
Driven by the rapidly escalating capacity demands of emerging wireless systems, researchers havedeveloped a wide array of novel signal processing techniques for use in such systems. Now, twoleading researchers synthesize the field's vast new literature, giving working engineers practicalguidance for designing advanced wireless receivers.
Drs. Xiaodong Wang and H. Vincent Poor offer a complete framework for developing, analyzing, andunderstanding the explicit algorithms needed for advanced processing in emerging wireless systems.They address a full range of physical-layer issues, including multipath, dispersion, interference,dynamism, and multiple-antenna systems. In many cases, the authors themselves developed the methodsthey present. Coverage includes:
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Motivation. Wireless Signaling Environment. Basic Receiver Signal Processing for Wireless. Outline of the Book.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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