Optimal Combining and Detection
Statistical Signal Processing for Communications

Covers the fundamentals of statistical signal processing and provides range of key signal combining techniques and performance analysis tools.

Jinho Choi (Author)

9780521517607, Cambridge University Press

Hardback, published 28 January 2010

348 pages, 73 b/w illus. 4 tables 76 exercises
25.4 x 17.8 x 1.9 cm, 0.84 kg

'Optimal Combining and Detection: Statistical Signal Processing for Communications covers fundamentals of signal detection and estimation and recent advances of multiple input multiple output (MIMO) detection. MIMO detection has become indispensable in modern wireless communication systems. I find the book very interesting and informative to wireless researchers and system engineers in both academia and industry. I believe that the book is also a very good text book for graduate students who are studying the advanced wireless communications technology.' Fumiyuki Adachi, Tohoku University, Japan

With signal combining and detection methods now representing a key application of signal processing in communication systems, this book provides a range of key techniques for receiver design when multiple received signals are available. Various optimal and suboptimal signal combining and detection techniques are explained in the context of multiple-input multiple-output (MIMO) systems, including successive interference cancellation (SIC) based detection and lattice reduction (LR) aided detection. The techniques are then analyzed using performance analysis tools. The fundamentals of statistical signal processing are also covered, with two chapters dedicated to important background material. With a carefully balanced blend of theoretical elements and applications, this book is ideal for both graduate students and practising engineers in wireless communications.

1. Introduction
2. Fundamentals of detection theory
3. Fundamentals of estimation theory
4. Optimal combining: single-signal
5. Array signal processing and smart antenna
6. Optimal combining: multiple-signal
7. Multiple signal detection in vector space – MIMO detection
8. MIMO detection with successive interference cancellation
9. Lattice-reduction aided MIMO detection
10. Analysis of LR based MIMO detection
Appendix 1. Review of signals and systems
Appendix 2. A brief review of entropy, mutual information, and channel capacity
Appendix 3. Important properties of matrices and vectors
Appendix 4. Lattice theory.

Subject Areas: Communications engineering / telecommunications [TJK], Electronics engineering [TJF], Electrical engineering [THR]