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Radar Detection, Performance, & CFAR Techniques

University of Naples Federico II

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The objective of this lecture is to teach the theory of radar detection, detector performance analysis, and Constant False Alarm Rate (CFAR) techniques according to a rigorous academic style based on the use of statistical decision theory. It is organized into two main sections: a) Theory of Radar Detection and Performance Assessment; b) CFAR Techniques. Detailed Description: 1. Theory of Radar Detection and Performance Assessment 1.1. Preliminaries on the Fast-Time Slow-Time Radar Data Matrix 1.2. Statistical Characterization of the Radar Observations 1.3. Coherent, Non-Coherent, and Binary Integration 1.4. Optimum Detection in White Gaussian Noise (WGN) Optimum Coherent Detection in WGN and Related Performance 1.5. Non-Coherent Detection in WGN Square-Law and Linear Integration False Alarm and Detection Probability Analysis Albersheim’s Equation 1.6. The case of Fluctuating Targets According to Swerling 1 -4 Models 2. CFAR Techniques 2.1. The Constant False Alarm Rate (CFAR) Concept 2.2. Basic CFAR Architecture Cell Averaging (CA-CFAR) CFAR Loss Masking Effects Clutter Edges Robust CFAR Processors Greatest Of CFAR (GO-CFAR) Smallest OF CFAR (SO-CFAR) CFAR Techniques Based on Order Statistics (OS) Trimmed-Mean and Censored CFAR, OS-CFAR.