Sequential classification of radar targets

Ismail I. Jouny

doi:10.1117/12.395590

17 August 2000 Sequential classification of radar targets

Ismail I. Jouny

Proceedings Volume 4050, Automatic Target Recognition X; (2000) https://doi.org/10.1117/12.395590
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The M-ary sequential probability ratio test MSPRT is used to recognize unknown non-cooperative radar targets. Radar returns representing the unknown target backscatter coefficients are tested sequentially using MSPRT. At each stage of the recognition process all observations are used in MSPRT, if no identification decision can be made, additional information is requested and MSPRT is implemented again. The goal is either to minimize the number of observations needed to identify an unknown target assuming a certain predetermined error probability, or to minimize the probability of error assuming a predetermined maximum number of observations. The experimental phase of this study involves radar cross-section signatures of four commercial aircraft models recorded in a compact range environment. Scenarios representing various degrees of azimuth uncertainty are examined in this paper. In all cases, it is assumed that the unknown target is corrupted with additive white Gaussian noise.

Citation Download Citation

Ismail I. Jouny "Sequential classification of radar targets", Proc. SPIE 4050, Automatic Target Recognition X, (17 August 2000); https://doi.org/10.1117/12.395590

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