《Adaptive and Iterative signal processing in communications》

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《Adaptive and Iterative signal processing in communications》【语言】：English
【页数】：338
【何人（公司）所著】：Jinho Choi
【文件格式】：pdf(清晰)
【ISBN 】： 051125492X
【出版社】 ：Cambridge University Press
【摘要】：
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.

【目录】：
Introduction 1
1.1 Communications in interference-limited environments 1
1.2 Issues in receiver design 5
1.3 Adaptive signal processing 7
1.4 Iterative signal processing 7
1.5 Outline of the book 10
1.6 Limitations of the book 10
I ISI channels and adaptive signal processing 13
2 Channel equalization for dispersive channels 15
2.1 ISI channels and the equalization problem 15
2.2 Linear equalizers 19
2.3 Decision feedback equalizers 26
2.4 Adaptive linear equalizers 33
2.5 Adaptive decision feedback equalizers 43
2.6 Summary and notes 44
2.7 Appendix to Chapter 2: Convergence of the LMS algorithm 44
3 Sequence detection with adaptive channel estimation 48
3.1 MLSD and the Viterbi algorithm 48
3.2 Channel estimation 61
3.3 MLSD with estimated channel 65
3.4 Per-survivor processing with adaptive channel estimation 68
3.5 Summary and notes 74
4 Estimation and detection for fading multipath channels 75
4.1 Introduction to fading channel modeling 75
4.2 MMSE approach to estimate time-varying channels 85
4.3 Adaptive algorithms to track time-varying channels 89
4.4 Kalman filter for channel tracking 93
4.5 MLSD and PSP with channel tracking for fading channels 100
4.6 Summary and notes 104
II Iterative signal processing for ISI channels 105
5 MAP detection and iterative channel estimation 107
5.1 MAP symbol detection over ISI channels 107
5.2 ML channel estimation and the EM algorithm 118
5.3 Iterative channel estimation with MAP detection 127
5.4 ML data detection via the EM algorithm 131
5.5 Summary and notes 133
6 Iterative receivers over static ISI channels 134
6.1 A brief overview of information theory 134
6.2 Convolutional codes 143
6.3 Iterative receivers 152
6.4 EXIT chart analysis 160
6.5 Summary and notes 169
7 Iterative receivers under time-varying channel conditions 171
7.1 Detection/decoding for unknown time-varying channels 171
7.2 Iterative receiver based on ExDD–ImC approach 172
7.3 Iterative receiver based on ExC–ImDD approach 179
7.4 Summary and notes 188
7.5 Appendix to Chapter 7: Gauss–Seidel iteration 190
III Other interference-limited systems 193
8 CDMA systems and multiuser detection 195
8.1 Overview of cellular systems 195
8.2 Introduction to CDMA systems 197
8.3 Multiuser detection 203
8.4 Adaptive detectors 210
8.5 Summary and notes 218
9 Iterative CDMA receivers 219
9.1 Structure of iterative receivers 219
9.2 MAP detection in iterative receivers 220
9.3 Approximate MAP detection within iterative receivers 223
9.4 MMSE-SC detection within iterative receivers 227
9.5 Iterative receiver with unknown interferers 232
9.6 Summary and notes 238
10 Iterative receivers for multiple antenna systems 239
10.1 Space diversity 239
10.2 MIMO detection 245
10.3 Iterative receivers with known channels 253
10.4 Doubly iterative receivers under uncertain conditions 261
10.5 Summary and notes 268
10.6 Appendix to Chapter 10: Proof of Eq. (10.71) 269
11 Coded OFDM and the iterative receiver 271
11.1 Introduction to OFDM systems 271
11.2 Coded OFDM 279
11.3 EM-based iterative channel estimation 284
11.4 Summary and notes 288
11.5 Appendix to Chapter 11: Derivation of Eq. (11.6) 289
Appendix 1 Review of signal processing and the Z-transform 290
Appendix 2 Important properties of matrices and vectors 293
Appendix 3 Background for probability and statistics 299
References 308
Index 316

yuzhi

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xixiliu

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dennisliu

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machinecat-007

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seesea11

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randomheart

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