Ferrari / Colavolpe / Raheli Detection Algorithms for Wireless Communications

With Applications to Wired and Storage Systems
1. Auflage 2005
ISBN: 978-0-470-85829-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 426 Seiten, E-Book

Wireless channels are becoming more and more important, with thefuture development of wireless ad-hoc networks and the integrationof mobile and satellite communications. To this end,algorithmic detection aspects (involved in the physical layer) willbecome fundamental in the design of a communication system.
This book proposes a unified approach to detection forstochastic channels, with particular attention to wirelesschannels. The core idea is to show that the three main criteria ofsequence detection, symbol detection and graph-based detection, canall be described within a general framework. This implies that adetection algorithm based on one criterion can be extended to theother criteria in a systematic manner.
* Presents a detailed analysis of statistical signal detectionfor digital signals transmitted over wireless communications
* Provides a unifying framework for different signal detectionalgorithms, such as sequence detection, symbol detection andgraph-based detection, important for the design of modern digitalreceivers operating over mobile channels
* Features the hot topic of graph-based detection
Detection Algorithms for Wireless Communicationsrepresents a novel contribution with respect to the currentliterature, with a unique focus on detection algorithms, as such itwill prove invaluable to researchers working in academia andindustry and in the field of wireless communications, as well aspostgraduate students attending advanced courses on mobilecommunications.

Autoren/Hrsg.

Ferrari, Gianluigi

Colavolpe, Giulio

Raheli, Riccardo

Inhaltsverzeichnis

Preface.
Acknowledgements.
List of Figures.
List of Tables.
1. Wireless Communication Systems.
1.1 Introduction.
1.2 Overview of Wireless Communication Systems.
1.3 Wireless Channel Models.
1.4 Demodulation, Detection, and Parameter Estimation.
1.5 Information Theoretic Limits.
1.6 Coding and Modulation.
1.7 Approaching Shannon Limits: Turbo Codes and Low DensityParity Check Codes.
1.8 Space-Time Coding.
1.9 Summary.
1.10 Problems.
2. A General Approach to Statistical Detection for Channels withMemory.
2.1 Introduction.
2.2 Statistical Detection Theory.
2.3 Transmission Systems with Memory.
2.4 Overview of Detection Algorithms for StochasticChannels.
2.5 Summary.
2.6 Problems.
3. Sequence Detection: Algorithms and Applications.
3.1 Introduction.
3.2 MAP Sequence Detection Principle.
3.3 Viterbi Algorithm.
3.4 Soft-output Viterbi Algorithm.
3.5 Finite-Memory Sequence Detection.
3.6 Estimation-Detection Decomposition.
3.7 Data-Aided Parameter Estimation.
3.8 Joint Detection and Estimation.
3.9 Per-Survivor Processing.
3.9.1 Phase-Uncertain Channel.
3.10 Complexity Reduction Techniques for VA-based DetectionAlgorithms.
3.11 Applications to Wireless Communications.
3.12 Summary.
3.13 Problems.
4. Symbol Detection: Algorithms and Applications.
4.1 Introduction.
4.2 MAP Symbol Detection Principle.
4.3 Forward-Backward Algorithm.
4.4 Iterative Decoding and Detection.
4.5 Extrinsic Information in Iterative Decoding: a UnifiedView.
4.6 Finite-Memory Symbol Detection.
4.7 An Alternative Approach to Finite-Memory SymbolDetection.
4.8 State Reduction Techniques for Forward-BackwardAlgorithms.
4.9 Applications to Wireless Communications.
4.10 Summary.
4.11 Problems.
5. Graph-Based Detection: Algorithms and Applications.
5.1 Introduction.
5.2 Factor Graphs and the Sum-Product Algorithm.
5.3 Finite-Memory Graph-Based Detection.
5.4 Complexity Reduction for Graph-Based DetectionAlgorithms.
5.5 Strictly Finite Memory: Inter-Symbol InterferenceChannels.
5.6 Applications to Wireless Communications
5.7 An Alternative Approach to Graph-Based Detection in thePresence of Strong Phase Noise.
5.8 Summary.
5.9 Problems.
Appendix: Discretization by Sampling.
A.1 Introduction.
A.2 Continuous-Time Signal Model.
A.3 Discrete-Time Signal Model.
References.
List of Acronyms.
Index.