Detection Algorithms for Wireless Communications
With Applications to Wired and Storage Systems
Software
Other digital
426 pages
978-0-470-85830-1 (ISBN)
Description
Wireless channels are becoming more and more important, with the future development of wireless ad-hoc networks and the integration of mobile and satellite communications. To this end, algorithmic detection aspects (involved in the physical layer) will become fundamental in the design of a communication system. This book proposes a unified approach to detection for stochastic channels, with particular attention to wireless channels. The core idea is to show that the three main criteria of sequence detection, symbol detection and graph-based detection, can all be described within a general framework. This implies that a detection algorithm based on one criterion can be extended to the other criteria in a systematic manner.*
Presents a detailed analysis of statistical signal detection for digital signals transmitted over wireless communications* Provides a unifying framework for different signal detection algorithms, such as sequence detection, symbol detection and graph-based detection, important for the design of modern digital receivers operating over mobile channels* Features the hot topic of graph-based detection Detection Algorithms for Wireless Communications represents a novel contribution with respect to the current literature, with a unique focus on detection algorithms, as such it will prove invaluable to researchers working in academia and industry and in the field of wireless communications, as well as postgraduate students attending advanced courses on mobile communications.
Presents a detailed analysis of statistical signal detection for digital signals transmitted over wireless communications* Provides a unifying framework for different signal detection algorithms, such as sequence detection, symbol detection and graph-based detection, important for the design of modern digital receivers operating over mobile channels* Features the hot topic of graph-based detection Detection Algorithms for Wireless Communications represents a novel contribution with respect to the current literature, with a unique focus on detection algorithms, as such it will prove invaluable to researchers working in academia and industry and in the field of wireless communications, as well as postgraduate students attending advanced courses on mobile communications.
More details
Language
English
Place of publication
Hoboken
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Dimensions
Height: 253 mm
Width: 178 mm
Thickness: 30 mm
Weight
960 gr
ISBN-13
978-0-470-85830-1 (9780470858301)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Gianluigi Ferrari | Giulio Colavolpe | Riccardo Raheli
Detection Algorithms for Wireless Communications
With Applications to Wired and Storage Systems
E-Book
12/2005
Wiley
€143.99
Available for download
Persons
Content
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 Density Parity Check Codes. 1.8 Space-Time Coding. 1.9 Summary. 1.10 Problems. 2. A General Approach to Statistical Detection for Channels with Memory. 2.1 Introduction. 2.2 Statistical Detection Theory. 2.3 Transmission Systems with Memory. 2.4 Overview of Detection Algorithms for Stochastic Channels. 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 Detection Algorithms. 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 Unified View. 4.6 Finite-Memory Symbol Detection. 4.7 An Alternative Approach to Finite-Memory Symbol Detection. 4.8 State Reduction Techniques for Forward-Backward Algorithms. 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 Detection Algorithms. 5.5 Strictly Finite Memory: Inter-Symbol Interference Channels. 5.6 Applications to Wireless Communications 5.7 An Alternative Approach to Graph-Based Detection in the Presence 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.