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內(nèi)容簡介

　　本書系統(tǒng)介紹了雷達信號檢測領域的發(fā)展前沿和**研究成果，重點闡述了知識基自適應檢測和泄露自適應檢測兩方面內(nèi)容。對于知識基自適應檢測，包括陣列斜對稱檢測、雜波譜對稱檢測和貝葉斯檢測三部分內(nèi)容，實現(xiàn)了對各種先驗知識的有效利用，大幅提高雷達在非均勻環(huán)境下的探測性能。對于泄露自適應檢測，在完成離散時間信號建?；A上，構建了相應的二元假設檢驗問題，采用廣義似然比等檢驗準則給出解決方案，將以泄露目標能量創(chuàng)新地加以利用，不僅有效減小泄露損失，還實現(xiàn)了對目標距離的有效估計。進一步探討了提高泄露檢測性能的措施，包括對時間序列進行過采樣、利用前述各類先驗知識等。此外，本書還采用雷達實測數(shù)據(jù)對所介紹方法的有效性進行了充分驗證。

作者簡介

暫缺《自適應雷達信號檢測與距離估計（英文版）》作者簡介

圖書目錄

Contents
1 Introduction to Radar Systems 1
1.1 Historical Background 1
1.2 Pulsed Radar Architectures 4
1.3 An Introduction to Design Parameters 8
1.3.1 The Ambiguity Function 10
1.3.2 Doppler Resolution and the Pulse Burst Waveform 14
1.3.3 Radar Equation 19
1.4 Organization and Outline of the Book 20
References 21
2 Adaptive Radar Detection: Classical Approach 23
2.1 Analytical Models for Target and Interference 24
2.2 Decision Theory in Radar 30
2.2.1 Hypothesis Testing Problems 30
2.2.2 Design Criteria 34
2.3 Conventional Detectors for Point-Like Targets 38
2.3.1 Decision Rules 38
2.3.2 CFAR Property 42
References 43
3 Knowledge-Aided Detectors 45
3.1 Persymmetric Detectors 46
3.1.1 Problem Formulation 46
3.1.2 Detector Designs 48
3.1.3 Illustrative Examples 61
3.2 Symmetric Spectrum Detectors 72
3.2.1 Problem Formulation 73
3.2.2 Detector Designs 75
3.2.3 Illustrative Examples 84
3.3 Joint Exploitation of Persymmetry and Symmetry 90
3.3.1 Problem Formulation 90
3.3.2 Detector Designs 93
3.3.3 Illustrative Examples 96
References 100
4 Detectors with Enhanced Range Estimation Capabilities 103
4.1 Localization Detectors for Point-Like Targets 104
4.1.1 Problem Formulation 104
4.1.2 Detector Designs 106
4.1.3 Illustrative Examples 113
4.2 Polarimetric Localization Detectors 120
4.2.1 Problem Formulation 121
4.2.2 Detector Designs 122
4.2.3 Illustrative Examples 127
4.3 Oversampling Localization Detectors 134
4.3.1 Problem Formulation 135
4.3.2 Detector Designs 139
4.3.3 Illustrative Examples 146
References 152
5 Knowledge-Aided Localization Detectors 155
5.1 Persymmetric Localization Detectors 155
5.1.1 Problem Formulation 156
5.1.2 Detector Designs 157
5.1.3 Illustrative Examples 161
5.2 Symmetric Spectrum Localization Detectors 170
5.2.1 Problem Formulation 170
5.2.2 Detector Designs 172
5.2.3 Illustrative Examples 174
5.3 Bayesian Localization Detectors 177
5.3.1 Problem Formulation 177
5.3.2 Detector Designs 180
5.3.3 Illustrative Examples 183
References 191
Appendix A: Complex Gaussian Distribution with Circular
Symmetry 193
Appendix B: The Equivalent form of Detector (3.25) 197
Appendix C: Derivations of the Distribution of q Defined in (3.33) 201
Appendix D: The Equivalent form of Detector (3.61) 203
Appendix E: The Proof of Proposition 3.2 207
Appendix F: The Proof of Proposition 3.4 209
Appendix G: Expressions of the Coefficients for (3.128) and (3.130) 211
Appendix H: The Proof of Proposition 3.5 213
Appendix I: The Correlation Model of the Clutter Returns 215