1 December 1992 Evaluation of nonparametric discriminant analysis techniques for radar signal feature selection and extraction
Ogmundur Snorrason, Frederick D. Garber
Author Affiliations +
Abstract
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.
Ogmundur Snorrason and Frederick D. Garber "Evaluation of nonparametric discriminant analysis techniques for radar signal feature selection and extraction," Optical Engineering 31(12), (1 December 1992). https://doi.org/10.1117/12.60010
Published: 1 December 1992
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Prototyping

Feature selection

Radar

Signal to noise ratio

Feature extraction

Monte Carlo methods

Classification systems

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