Adaptive and Iterative Signal Processing in Communications

by Jinho Choi

• ISBN13: 9780521864862
• ISBN10: 0521864860
• Format: Hardcover
• Copyright: 2006-12-04
• Publisher: Cambridge University Press

Summary

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 exmaples, 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.

Author Biography

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

Table of Contents

List of figures	viii
List of tables	xii
Preface	xiii
List of symbols	xv
List of abbreviations	xvi
Introduction	1	(12)
Communications in interference-limited environments	1	(4)
Issues in receiver design	5	(2)
Adaptive signal processing	7	(1)
Iterative signal processing	7	(3)
Outline of the book	10	(1)
Limitations of the book	10	(3)
I ISI channels and adaptive signal processing	13	(92)
Channel equalization for dispersive channels	15	(33)
ISI channels and the equalization problem	15	(4)
Linear equalizers	19	(7)
Decision feedback equalizers	26	(7)
Adaptive linear equalizers	33	(10)
Adaptive decision feedback equalizers	43	(1)
Summary and notes	44	(1)
Appendix to Chapter 2: Convergence of the LMS algorithm	44	(4)
Sequence detection with adaptive channel estimation	48	(27)
MLSD and the Viterbi algorithm	48	(13)
Channel estimation	61	(4)
MLSD with estimated channel	65	(3)
Per-survivor processing with adaptive channel estimation	68	(6)
Summary and notes	74	(1)
Estimation and detection for fading multipath channels	75	(30)
Introduction to fading channel modeling	75	(10)
MMSE approach to estimate time-varying channels	85	(4)
Adaptive algorithms to track time-varying channels	89	(4)
Kalman filter for channel tracking	93	(7)
MLSD and PSP with channel tracking for fading channels	100	(4)
Summary and notes	104	(1)
II Iterative signal processing for ISI channels	105	(88)
MAP detection and iterative channel estimation	107	(27)
MAP symbol detection over ISI channels	107	(11)
ML channel estimation and the EM algorithm	118	(9)
Iterative channel estimation with MAP detection	127	(4)
ML data detection via the EM algorithm	131	(2)
Summary and notes	133	(1)
Iterative receivers over static ISI channels	134	(37)
A brief overview of information theory	134	(9)
Convolutional codes	143	(9)
Iterative receivers	152	(8)
EXIT chart analysis	160	(9)
Summary and notes	169	(2)
Iterative receivers under time-varying channel conditions	171	(22)
Detection/decoding for unknown time-varying channels	171	(1)
Iterative receiver based on ExDD-ImC approach	172	(7)
Iterative receiver based on ExC-ImDD approach	179	(9)
Summary and notes	188	(2)
Appendix to Chapter 7: Gauss-Seidel iteration	190	(3)
III Other interference-limited systems	193	(97)
CDMA systems and multiuser detection	195	(24)
Overview of cellular systems	195	(2)
Introduction to CDMA systems	197	(6)
Multiuser detection	203	(7)
Adaptive detectors	210	(8)
Summary and notes	218	(1)
Iterative CDMA receivers	219	(20)
Structure of iterative receivers	219	(1)
MAP detection in iterative receivers	220	(3)
Approximate MAP detection within iterative receivers	223	(4)
MMSE-SC detection within iterative receivers	227	(5)
Iterative receiver with unknown interferers	232	(6)
Summary and notes	238	(1)
Iterative receivers for multiple antenna systems	239	(32)
Space diversity	239	(6)
MIMO detection	245	(8)
Iterative receivers with known channels	253	(8)
Doubly iterative receivers under uncertain conditions	261	(7)
Summary and notes	268	(1)
Appendix to Chapter 10: Proof of Eq. (10.71)	269	(2)
Coded OFDM and the iterative receiver	271	(19)
Introduction to OFDM systems	271	(8)
Coded OFDM	279	(5)
EM-based iterative channel estimation	284	(4)
Summary and notes	288	(1)
Appendix to Chapter 11: Derivation of Eq. (11.6)	289	(1)
Appendix 1 Review of signal processing and the Z-transform	290	(3)
Appendix 2 Important properties of matrices and vectors	293	(6)
Appendix 3 Background for probability and statistics	299	(9)
References	308	(8)
Index	316