Contents1 Introduction to Radar Systems 11.1 Historical Background 11.2 Pulsed Radar Architectures 41.3 An Introduction to Design Parameters 81.3.1 The Ambiguity Function 101.3.2 Doppler Resolution and the Pulse Burst Waveform 141.3.3 Radar Equation 191.4 Organization and Outline of the Book 20References 212 Adaptive Radar Detection: Classical Approach 232.1 Analytical Models for Target and Interference 242.2 Decision Theory in Radar 302.2.1 Hypothesis Testing Problems 302.2.2 Design Criteria 342.3 Conventional Detectors for Point-Like Targets 382.3.1 Decision Rules 382.3.2 CFAR Property 42References 433 Knowledge-Aided Detectors 453.1 Persymmetric Detectors 463.1.1 Problem Formulation 463.1.2 Detector Designs 483.1.3 Illustrative Examples 613.2 Symmetric Spectrum Detectors 723.2.1 Problem Formulation 733.2.2 Detector Designs 753.2.3 Illustrative Examples 843.3 Joint Exploitation of Persymmetry and Symmetry 903.3.1 Problem Formulation 903.3.2 Detector Designs 933.3.3 Illustrative Examples 96References 1004 Detectors with Enhanced Range Estimation Capabilities 1034.1 Localization Detectors for Point-Like Targets 1044.1.1 Problem Formulation 1044.1.2 Detector Designs 1064.1.3 Illustrative Examples 1134.2 Polarimetric Localization Detectors 1204.2.1 Problem Formulation 1214.2.2 Detector Designs 1224.2.3 Illustrative Examples 1274.3 Oversampling Localization Detectors 1344.3.1 Problem Formulation 1354.3.2 Detector Designs 1394.3.3 Illustrative Examples 146References 1525 Knowledge-Aided Localization Detectors 1555.1 Persymmetric Localization Detectors 1555.1.1 Problem Formulation 1565.1.2 Detector Designs 1575.1.3 Illustrative Examples 1615.2 Symmetric Spectrum Localization Detectors 1705.2.1 Problem Formulation 1705.2.2 Detector Designs 1725.2.3 Illustrative Examples 1745.3 Bayesian Localization Detectors 1775.3.1 Problem Formulation 1775.3.2 Detector Designs 1805.3.3 Illustrative Examples 183References 191Appendix A: Complex Gaussian Distribution with CircularSymmetry 193Appendix B: The Equivalent form of Detector (3.25) 197Appendix C: Derivations of the Distribution of q Defined in (3.33) 201Appendix D: The Equivalent form of Detector (3.61) 203Appendix E: The Proof of Proposition 3.2 207Appendix F: The Proof of Proposition 3.4 209Appendix G: Expressions of the Coefficients for (3.128) and (3.130) 211Appendix H: The Proof of Proposition 3.5 213Appendix I: The Correlation Model of the Clutter Returns 215
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