检测、估值与调制理论（卷III）——雷达—声纳信号处理与噪声中的高斯信号（英文版）|通信与信息科学教育丛书|Harry L.Van Trees|电子工业出版社

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检测、估值与调制理论（卷III）——雷达—声纳信号处理与噪声中的高斯信号（英文版）

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原书名：Detection,Estimation,and Modulation Theory(Part III)Radar-Sonar Signal Processing and Gaussian Signals in Noise	原出版社：John Wiley & Sons,Inc.
作者： Harry L.Van Trees	出版社：电子工业出版社
译者：	丛书名：通信与信息科学教育丛书
出版日期：2003-9-1	上架日期：2005-10-8
ISBN：7505391135	页数：626 版次：1-1
开本：16开	装帧：

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| 大封面 | 封底 | 前言 | 内容简介 | 序言 | 目录 | 作者简介 | 译者简介 | 作者序 | 译者序 |

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内容简介
本书是一本非常实用的详细介绍检测、估值与调制理沦的教学参考书。本书主要介绍雷达—声纳信号处理以及噪声中的高斯信号。其中包括高斯信号的检测、随机过程参数的估计、雷达—声纳问题、估值问题的特殊种类、多普勒扩展目标与信道、范围扩展目标与信道、双扩展目标与信道等内容。
本书可用做通信与电子、信息与信号处理等专业的高年级本科生、研究牛的教材，也可作为相关人员的参考书。

目录
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1 Introduction
1.1  Review of Parts I and II
1.2  Random Signals in Noise
1.3  Signal Processing in Radar-Sonar Systems
References
2  Detection of Gaussian Signals in White Gaussian Noise
2.1  Optimum Receivers
2.1.1  Canonical Realization No. 1: Estimator-Correlator
2.1.2  Canonical Realization No. 2: Filter-Correlator Receiver
2.1.3  Canonical Realization No. 3: Filter-Squarer-Integrator (FSI) Receiver
2.1.4  Canonical Realization No. 4: Optimum Realizable Filter Receiver
2.1.5  Canonical Realization No. 4S: State-variable Realization
2.1.6  Summary: Receiver Structures
2.2  Performance
2.2.1  Closed-form Expression for (s)
2.2.2  Approximate Error Expressions
2.2.3  An Alternative Expression for R(s)
2.2.4  Performance for a Typical System
2.3  Summary: Simple Binary Detection
2.4  Problems
References
3  General Binary Detection: Gaussian Processes
3.1  Model and Problem Classification
3.2  Receiver Structures
3.2.1  Whitening Approach
3.2.2  Various Implementations of the Likelihood RatioTest
3.2.3  Summary: Receiver Structures
3.3  Performance
3.4  Four Special Situations
3.4.1  Binary Symmetric Case
3.4.2  Non-zero Means
3.4.3  Stationary"Carrier-symmetric" Bandpass Problems
3.4.4  Error Probability for the Binary Symmetric Bandpass Problem
3.5  General Binary Case: White Noise Not Necessarily Present: Singular Tests
3.5.1  Receiver Derivation
3.5.2  Performance: General Binary Case
3.5.3  Singularity
3.6  Summary: General Binary Problem
3.7  Problems
References
4 SpeciaICategoriesofDetectionProblerns
4.1  Stationary Processes: Long Observation Time
4.1.1  Simple Binary Problem
4.1.2  General Binary Problem
4.1.3  Summary: SPLOT Problem
4.2 Separable Kernels
4.2.1  Separable Kernel Model
4.2.2  Time Diversity
4.2.3  Frequency Diversity
4.2.4  Summary: Separable Kernels
4.3  Low-Energy-Coherence (LEC) Case
4.4  Summary
4.5  Problems
References
5  Discussion: Detection of Gaussian Signals
5.1  Related Topics
5.1.1  M-ary Detection: Gaussian Signals in Noise
5.1.2  Suboptimum Receivers
5.1.3  Adaptive Receivers
5.1.4  Non-Gaussian Processes
5.1.5  Vector Gaussian Processes
5.2  Summary of Detection Theory
5.3  Problems
References
6  Estimation of the Parameters of a Random Process
6.1  Parameter Estimation Model
6.2  Estimator Structure
6.2.1  Derivation of the Likelihood Function
6.2.2  Maximum Likelihood and Maximum A-Posteriori Probability Equations
6.3  Performance Analysis
6.3.1  A Lower Bound on the Variance
6.3.2  Calculation of J(2)(A)
6.3.3  Lower Bound on the Mean-Square Error
6.3.4  Improved Performance Bounds
6.4  Summary
6.5  Problems
References
7 Special Categories of Estimation Problems
7.1  Stationary Processes: Long Observation Time
7.1.1  General Results
7.1.2  Performance of Truncated Estimates
7.1.3  Suboptimum Receivers
7.1.4  Summary
7.2  Finite-State Processes
7.3  Separable Kernels
7.4  Low-Energy-Coherence Case
7.5  Related Topics
7.5.1  Multiple-Parameter Estimation
7.5.2  Composite-Hypothesis Tests
7.6  Summary of Estimation Theory
7.7  Problems
References
8  The Radar-sonar Problem
References
9 Detection of Slowly Fluctuating Point Targets
9.1  Model of a Slowly Fluctuating Point Target
9.2  White Bandpass Noise
9.3  Colored Bandpass Noise
9.4  Colored Noise with a Finite State Representation
9.4.1  Differential-equation Representation of the Optimum Receiver and Its Performance: I
9.4.2  Differential-equation Representation of the Optimum Receiver and Its Performance: II
9.5  Optimal Signal Design
9.6  Summary and Related Issues
9.7  Problems
References
10 Parameter Estimation: Slowly Fluctuating Point Targets
10.1  Receiver Derivation and Signal Design
10.2  Performance of the Optimum Estimator
10.2.1  Local Accuracy
10.2.2  Global Accuracy (or Ambiguity)
10.2.3  Summary
10.3  Properties of Time-Frequency Autocorrelation Functions and Ambiguity Functions
10.4  Coded Pulse Sequences
10.4.1  On-off Sequences
10.4.2  Constant Power, Amplitude-modulated Waveforms
10.4.3  Other Coded Sequences
10.5  Resolution
10.5.1  Resolution in a Discrete Environment: Model
10.5.2  Conventional Receivers
10.5.3  Optimum Receiver: Discrete Resolution Problem
10.5.4  Summary of Resolution Results
10.6  Summary and Related Topics
10.6.1  Summary
10.6.2  Related Topics
10.7  Problems
Refereaces
11  Doppler-Spread Targets and Channels
11.1  Model for Doppler-Spread Target (or Channel)
11.2  Detection of Doppler-Spread Targets
11.2.1  Likelihood Ratio Test
11.2.2  Canonical Receiver Realizations
11.2.3  Performance of the Optimum Receiver
11.2.4  Classes of Processes
11.2.5  Summary
11.3  Communication Over Doppler-Spread Channels
11.3.1  Binary Communications Systems: Optimum Receiver and Performance
11.3.2  Performance Bounds for Optimized Binary Systems
11.3.3  Suboptimum Receivers
11.3.4  M-ary Systems
11.3.5  Summary: Communication over Doppler spread Channels
11.4  Parameter Estimation: Doppler-Spread Targets
11.5  Summary: Doppler-Spread Targets and Channels
11.6  Problems
References
12  Range-Spread Targets and Channels
12.1  Model and Intuitive Discussion
12.2  Detection of Range-Spread Targets
12.3  Time-Frequency Duality
12.3.1  Basic Duality Concepts
12.3.2  Dual Targets and Channels
12.3.3  Applications
12.4  Summary: Range-Spread Targets
12.5  Problems
References
13  Doubly-Spread Targets and Channels
13.1  Model for a Doubly-Spread Target
13.1.1  Basic Model
13.1.2  Differential-Equation  Model for a Doubly Spread Target (or Channel)
13.1.3  Model Summary
13.2  Detection in the Presence of Reverberation or Clutter (Resolution in a Dense Environment)
13.2.1  Conventional Receiver
13.2.2  Optimum Receivers
13.2.3  Summary of the Reverberation Problem
13.3  Detection of Doubly-Spread Targets and Communication over Doubly-Spread Channels
13.3.1  Problem Formulation
13.3.2  Approximate Models for Doubly-Spread Targets and Doubly-Spread Channels
13.3.3  Binary Communication over Doubly-Spread Channels
13.3.4  Detection under LEC Conditions
13.3.5  Related Topics
13.3.6  Summary  of  Detection  of  Doubly-Spread Signals
13.4  Parameter Estimation for Doubly-Spread Targets
13.4.1  Estimation under LEC Conditions
13.4.2  Amplitude Estimation
13.4.3  Estimation of Mean Range and Doppler
13.4.4  Summary
13.5  Summary of Doubly-Spread Targets and Channels
13.6  Problems
References
14  Discussion
14.1  Summary: Signal Processing in Radar and Sonar Systems
14.2  Optimum Array Processing
14.3  Epilogue
References
Appendix: Complex Representation of Bandpass Signals,Systems, and Processes
A.1  Deterministic Signals
A.2  Bandpass Linear Systems
A.2.1  Time-lnvariant Systems
A.2.2  Time-Varying Systems
A.2.3  State-Variable Systems
A.3  Bandpass Random Processes
A.3.1  Stationary Processes
A.3.2  Nonstationary Processes
A.3.3  Complex Finite-State Processes
A.4  Summary
A.5  Problems
References
Glossary
Author Index
Subject Index

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本书主要介绍雷达-声纳信号处理以及噪声中的高斯信号。其中包括高斯信号的检测、随机过程参数的估计、雷达-声纳问题、估值问题的特殊种类、多普勒扩展目标与信道、范围扩展目标与信道、双扩展目标与信道等内容。

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