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Adaptive and Iterative Signal Processing in Communications

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Overview

Adaptive signal processing (ASP) and iterative signal processing (ISP) are important techniques in improving the performance of receivers 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 book is divided into three parts: the first two parts 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 in this section how the two techniques can be used to solve problems in channels that have inherent uncertainty. With illustrations and worked examples, this text will be suitable for graduate students and researchers in electrical engineering, as well as for practitioners in the telecommunications industry. Further resources for this title are available online at www.cambridge.org/9780521864862.

About the Author:
Jinho Choi currently holds a Chair position in the Institute of Advanced Telecommunications (IAT), the University of Wales Swansea, UK

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Product Details

  • ISBN-13: 9780521864862
  • Publisher: Cambridge University Press
  • Publication date: 12/4/2006
  • Edition description: Second Edition
  • Pages: 336
  • Product dimensions: 6.85 (w) x 9.72 (h) x 0.79 (d)

Meet the Author

Professor Jinho Choi received his Ph.D. in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST) in 1994. He currently holds a Chair position in the Institute of Advanced Telecommunications (IAT), the University of Wales Swansea, UK. He is a Senior Member of the IEEE and an Associate Editor of IEEE Transactions on Vehicular Technology and an Editor of the Journal of Communications and Networks (JCN). In 1999, he was awarded the Best Paper Award for Signal Processing from EURASIP.

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Table of Contents


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