Detection Algorithms for Wireless Communications : With Applications to Wired and Storage Systems
暫譯: 無線通信的檢測演算法：應用於有線及儲存系統

Gianluigi Ferrari, Giulio Colavolpe, Riccardo Raheli

Detection Algorithms for Wireless Communications : With Applications to Wired and Storage Systems
  • 出版商: Wiley
  • 出版日期: 2004-10-08
  • 售價: $1,650
  • 貴賓價: 9.8 折 $1,617
  • 語言: 英文
  • 頁數: 426
  • 裝訂: Hardcover
  • ISBN: 0470858281
  • ISBN-13: 9780470858288
  • 相關分類: Algorithms-data-structures、Wireless-networks

    • 下單後立即進貨 (約5~7天)

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Description:

Wireless communications will play a major role in future communication systems. In fact, the need of wireless access to the Internet will become increasingly important, and novel network communication paradigms, such as ad-hoc wireless networks or integrated mobile/satellite systems, will be developed in the near future. Detection algorithms will play an important role in the design of efficient wireless communication systems as it will be mandatory to adhere to specific constraints in terms of power consumption and detection speed.

  • Provides a unified approach to statistical detection for stochastic channels, with particular emphasis on wireless communications
  • Shows how algorithms for trellis-based sequence detection can be systematically extended to trellis-based and graph-based symbol detection algorithms and vice-versa
  • Contains numerous examples of applications with an extended set of numerical results relative to the algorithms’ performance
  • Describes per-survivor processing, a key concept used to implement adaptive detection techniques
  • Presents a detailed description of graph-based detection
  • Features problems at the end of each chapter

* Includes a companion website featuring a solutions manual, electronic versions of the figures and a sample chapter *

By featuring detection algorithms which can be applied to wireless communications, as well as wired and storage systems such as those relative to transmissions over inter-symbol interference channels, this book will have far reaching appeal. Researchers and practitioners working in wireless and storage system design, both in academia and in industry, will all find it extremely useful.

Table of Contents:

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.

商品描述(中文翻譯)

**描述：**
無線通信將在未來的通信系統中扮演重要角色。事實上，無線訪問互聯網的需求將變得越來越重要，並且將在不久的將來開發出新的網絡通信範式，例如臨時無線網絡或集成的移動/衛星系統。檢測算法在設計高效的無線通信系統中將發揮重要作用，因為必須遵守特定的功耗和檢測速度約束。

- 提供統一的統計檢測方法，針對隨機通道，特別強調無線通信
- 展示如何系統性地將基於樹狀圖的序列檢測算法擴展到基於樹狀圖和基於圖形的符號檢測算法，反之亦然
- 包含大量應用示例，並提供與算法性能相關的擴展數值結果
- 描述每個生存者處理，這是一個用於實現自適應檢測技術的關鍵概念
- 提供基於圖形的檢測的詳細描述
- 每章末尾都有問題

**包含一個伴隨網站，提供解決方案手冊、圖形的電子版本和樣本章節**

本書通過介紹可應用於無線通信的檢測算法，以及適用於有線和存儲系統（例如與符號間干擾通道的傳輸相關的系統），將具有廣泛的吸引力。從事無線和存儲系統設計的研究人員和實踐者，無論是在學術界還是業界，都會發現本書極具實用性。

**目錄：**
前言。
致謝。
圖表清單。
表格清單。
1. 無線通信系統。
1.1 介紹。
1.2 無線通信系統概述。
1.3 無線通道模型。
1.4 解調、檢測和參數估計。
1.5 信息理論極限。
1.6 編碼和調變。
1.7 接近香農極限：Turbo碼和低密度奇偶檢查碼。
1.8 空間-時間編碼。
1.9 總結。
1.10 問題。
2. 一般的統計檢測方法針對具有記憶的通道。
2.1 介紹。
2.2 統計檢測理論。
2.3 具有記憶的傳輸系統。
2.4 隨機通道的檢測算法概述。
2.5 總結。
2.6 問題。
3. 序列檢測：算法和應用。
3.1 介紹。
3.2 MAP序列檢測原理。
3.3 Viterbi算法。
3.4 軟輸出Viterbi算法。
3.5 有限記憶序列檢測。
3.6 估計-檢測分解。
3.7 數據輔助參數估計。
3.8 聯合檢測和估計。
3.9 每個生存者處理。
3.9.1 相位不確定通道。
3.10 基於VA的檢測算法的複雜度降低技術。
3.11 在無線通信中的應用。
3.12 總結。
3.13 問題。
4. 符號檢測：算法和應用。
4.1 介紹。
4.2 MAP符號檢測原理。
4.3 前向-後向算法。
4.4 迭代解碼和檢測。
4.5 迭代解碼中的外部信息：統一觀點。
4.6 有限記憶符號檢測。
4.7 有限記憶符號檢測的替代方法。
4.8 前向-後向算法的狀態減少技術。
4.9 在無線通信中的應用。
4.10 總結。
4.11 問題。
5. 基於圖形的檢測：算法和應用。
5.1 介紹。
5.2 因子圖和和-乘法算法。
5.3 有限記憶基於圖形的檢測。
5.4 基於圖形的檢測算法的複雜度降低。
5.5 嚴格有限記憶：符號間干擾通道。
5.6 在無線通信中的應用。
5.7 在強相位噪聲下的基於圖形的檢測的替代方法。
5.8 總結。
5.9 問題。
附錄：通過取樣進行離散化。
A.1 介紹。
A.2 連續時間信號模型。
A.3 離散時間信號模型。
參考文獻。
縮略語清單。
索引。

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