Optical EngineeringEvaluation of nonparametric discriminant analysis techniques for radar signal feature selection and extraction
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The applicability of discriminant-function-based feature selection techniques to the design of radar target classification systems is addressed. The characteristics and limitations of several nonparametric feature selection criteria based on discriminant functions are discussed from the point of view of developing systems for classifying targets based on their real-aperture radar returns. The results of applying feature selection criteria to a radar target database are presented. The classification performance of the selected feature sets is evaluated by means of Monte Carlo simulation studies.