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Adaptive and Iterative Signal Processing in Communications

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Hardcover | 16 November 2006

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338 Pages

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24.41 x 16.99 x 2.06

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Adaptive signal processing (ASP) and iterative signal processing (ISP) are important techniques in improving receiver performance in communication systems. Using examples from practical transceiver designs, this book describes the fundamental theory and practical aspects of both methods, providing a link between the two where possible. The first two parts of the book deal with ASP and ISP respectively, each in the context of receiver design over intersymbol interference (ISI) channels. In the third part, the applications of ASP and ISP to receiver design in other interference-limited channels, including CDMA and MIMO, are considered; the author attempts to illustrate how the two techniques can be used to solve problems in channels that have inherent uncertainty. Containing illustrations and worked examples, this book is suitable for graduate students and researchers in electrical engineering, as well as practitioners in the telecommunications industry. Further resources for this title are available online at www.cambridge.org/9780521864862.

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List of figures	p. viii
List of tables	p. xii
Preface	p. xiii
List of symbols	p. xv
List of abbreviations	p. xvi
Introduction	p. 1
Communications in interference-limited environments	p. 1
Issues in receiver design	p. 5
Adaptive signal processing	p. 7
Iterative signal processing	p. 7
Outline of the book	p. 10
Limitations of the book	p. 10
ISI channels and adaptive signal processing	p. 13
Channel equalization for dispersive channels	p. 15
ISI channels and the equalization problem	p. 15
Linear equalizers	p. 19
Decision feedback equalizers	p. 26
Adaptive linear equalizers	p. 33
Adaptive decision feedback equalizers	p. 43
Summary and notes	p. 44
Appendix to Chapter 2: Convergence of the LMS algorithm	p. 44
Sequence detection with adaptive channel estimation	p. 48
MLSD and the Viterbi algorithm	p. 48
Channel estimation	p. 61
MLSD with estimated channel	p. 65
Per-survivor processing with adaptive channel estimation	p. 68
Summary and notes	p. 74
Estimation and detection for fading multipath channels	p. 75
Introduction to fading channel modeling	p. 75
MMSE approach to estimate time-varying channels	p. 85
Adaptive algorithms to track time-varying channels	p. 89
Kalman filter for channel tracking	p. 93
MLSD and PSP with channel tracking for fading channels	p. 100
Summary and notes	p. 104
Iterative signal processing for ISI channels	p. 105
Map detection and iterative channel estimation	p. 107
Map symbol detection over ISI channels	p. 107
ML channel estimation and the EM algorithm	p. 118
Iterative channel estimation with MAP detection	p. 127
ML data detection via the EM algorithm	p. 131
Summary and notes	p. 133
Iterative receivers over static ISI channels	p. 134
A brief overview of information theory	p. 134
Convolutional codes	p. 143
Iterative receivers	p. 152
Exit chart analysis	p. 160
Summary and notes	p. 169
Iterative receivers under time-varying channel conditions	p. 171
Detection/decoding for unknown time-varying channels	p. 171
Iterative receiver based on ExDD-ImC approach	p. 172
Iterative receiver based on ExC-ImDD approach	p. 179
Summary and notes	p. 188
Appendix to Chapter 7: Gauss-Seidel iteration	p. 190
Other interference-limited systems	p. 193
CDMA systems and multiuser detection	p. 195
Overview of cellular systems	p. 195
Introduction to CDMA systems	p. 197
Multiuser detection	p. 203
Adaptive detectors	p. 210
Summary and notes	p. 218
Iterative CDMA receivers	p. 219
Structure of iterative receivers	p. 219
MAP detection in iterative receivers	p. 220
Approximate MAP detection within iterative receivers	p. 223
MMSE-SC detection within iterative receivers	p. 227
Iterative receiver with unknown interferers	p. 232
Summary and notes	p. 238
Iterative receivers for multiple antenna systems	p. 239
Space diversity	p. 239
MIMO detection	p. 239
Iterative receivers with known channels	p. 253
Doubly iterative receivers under uncertain conditions	p. 261
Summary and notes	p. 268
Appendix to Chapter 10: Proof of Eq. (10.71)	p. 269
Coded OFDM and the iterative receiver	p. 271
Introduction to OFDM systems	p. 271
Coded OFDM	p. 279
EM-based iterative channel estimation	p. 284
Summary and notes	p. 288
Appendix to Chapter 11: Derivation of Eq. (11.6)	p. 289
Review of signal processing and the Z-transform	p. 290
Important properties of matrices and vectors	p. 293
Background for probability and statistics	p. 299
References	p. 308
Index	p. 316
Table of Contents provided by Ingram. All Rights Reserved.

Adaptive and Iterative Signal Processing in Communications

At a Glance

Hardcover

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