Performance analysis of a GLRT automated target discriminationscheme
Mooney, J.E.
Zhi Ding
Riggs, L.S.
Raytheon Syst. Co., Dallas, TX;
This paper appears in: Antennas and Propagation, IEEE Transactions on
Publication Date: Dec 2001
Volume: 49,
Issue: 12
On page(s): 1827-1835
ISSN: 0018-926X
References Cited: 15
CODEN: IETPAK
INSPEC Accession Number: 7180115
Digital Object Identifier: 10.1109/8.982466
Current Version Published: 2002-08-06
Abstract
The use of a generalized likelihood ratio test (GLRT) based on the
late-time scattered return for target discrimination was recently
presented by J.E. Mooney et al. (see ibid., vol.46, p.1817-23, Dec.
1998). The performance of the GLRT was demonstrated by direct simulation
with scattering data from a target library consisting of several
thin-wire targets. In this paper, a numerical procedure for analytically
evaluating the performance of the GLRT is presented. At the heart of
this procedure is the computation of the probability density of the GLRT
decision statistic. Unlike previous works that rely solely on some
simulation examples to demonstrate performance, our accurate analytical
results provide strong evidence of the effectiveness of the GLRT method.
The resulting analysis yields a measure of the discrimination capability
of the GLRT. This measure, which is referred to as the probability of
correct identification, is computed as a function of signal-to-noise
ratio (SNR) using the theoretical scattering data from several thin-wire
targets. These results are compared to the direct simulation results
presented by Mooney et al. to demonstrate the accuracy of the analysis
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