自适应雷达信号检测与距离估计（英文版）

《自适应雷达信号检测与距离估计（英文版）》系统介绍了雷达信号检测领域的发展前沿和近期新研究成果，重点阐述了知识基自适应检测和泄露自适应检测两方面内容。对于知识基自适应检测，包括阵列斜对称检测、杂波谱对称检测和贝叶斯检测三部分内容，实现了对各种先验知识的有效利用，大幅提高雷达在非均匀环境下的探测性能。对于泄露自适应检测，在完成离散时间信号建模基础上，构建了相应的二元假设检验问题，采用广义似然比等检验准则给出解决方案，将以泄露目标能量创新地加以利用，不仅有效减小泄露损失，还实现了对目标距离的有效估计。进一步探讨了提高泄露检测性能的措施，包括对时间序列进行过采样、利用前述各类先验知识等。此外，《自适应雷达信号检测与距离估计（英文版）》还采用雷达实测数据对所介绍方法的有效性进行了充分验证。

1 Introduction to Radar Systems
1.1 Historical Background
1.2 Pulsed Radar Architectures
1.3 An Introduction to Design Parameters
1.3.1 The Ambiguity Function
1.3.2 Doppler Resolution and the Pulse Burst Waveform
1.3.3 Radar Equation
1.4 Organization and Outline of the Book
References
2 Adaptive Radar Detection: Classical Approach
2.1 Analytical Models for Target and Interference
2.2 Decision Theory in Radar
2.2.1 Hypothesis Testing Problems
2.2.2 Design Criteria
2.3 Conventional Detectors for Point-Like Targets
2.3.1 Decision Rules
2.3.2 CFAR Property
References
3 Knowledge-Aided Detectors
3.1 Persymmetric Detectors
3.1.1 Problem Formulation
3.1.2 Detector Designs
3.1.3 Illustrative Examples
3.2 Symmetric Spectrum Detectors
3.2.1 Problem Formulation
3.2.2 Detector Designs
3.2.3 Illustrative Examples
3.3 Joint Exploitation of Persymmetry and Symmetry
3.3.1 Problem Formulation
3.3.2 Detector Designs
3.3.3 Illustrative Examples
References
Detectors with Enhanced Range Estimation Capabilities
4.1 Localization Detectors for Point-Like Targets
4.1.1 Problem Formulation
4.1.2 Detector Designs
4.1.3 Illustrative Examples
4.2 Polarimetric Localization Detectors
4.2.1 Problem Formulation
4.2.2 Detector Designs
4.2.3 Illustrative Examples
4.3 Oversampling Localization Detectors
4.3.1 Problem Formulation
4.3.2 Detector Designs
4.3.3 Illustrative Examples
References
5 Knowledge-Aided Localization Detectors
5.1 Persymmetric Localization Detectors
5.1.1 Problem Formulation
5.1.2 Detector Designs
5.1.3 Illustrative Examples
5.2 Symmetric Spectrum Localization Detectors
5.2.1 Problem Formulation
5.2.2 Detector Designs
5.2.3 Illustrative Examples
5.3 Bayesian Localization Detectors
5.3.1 Problem Formulation
5.3.2 Detector Designs
5.3.3 Illustrative Examples
References
Appendix A: Complex Ganssian Distribution with Circular
Symmetry
Appendix B: The Equivalent form of Detector (3.25 )
Appendix C: Derivations of the Distribution of ~ Defined in (3.33 )
Appendix D: The Equivalent form of Detector (3.61 )
Appendix G: Expressions of the Coefficients for (3.128) and (3.13 0) ..
Appendix I: The Correlation Model of the Clutter Returns