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Radar Detection, Performance, & CFAR Techniques

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Abstract

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) 1.4.1.1. Optimum Coherent Detection in WGN and Related Performance 1.5. Non-Coherent Detection in WGN 1.5.1.1. Square-Law and Linear Integration 1.5.1.2. False Alarm and Detection Probability Analysis 1.5.1.3. 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 2.2.1.1. Cell Averaging (CA-CFAR) 2.2.1.2. CFAR Loss 2.2.1.3. Masking Effects 2.2.1.4. Clutter Edges 2.2.1.5. Robust CFAR Processors 2.2.1.5.1.1. Greatest Of CFAR (GO-CFAR) 2.2.1.5.1.2. Smallest OF CFAR (SO-CFAR) 2.2.1.5.1.3. CFAR Techniques Based on Order Statistics (OS) 2.2.1.5.1.4. Trimmed-Mean and Censored CFAR, OS-CFAR.