DocumentCode
1493739
Title
A GLRT detector for bursty targets in multiplicative noise
Author
Frey, Michael
Author_Institution
Dept. of Math., Bucknell Univ., Lewisburg, PA, USA
Volume
6
Issue
5
fYear
1999
fDate
5/1/1999 12:00:00 AM
Firstpage
119
Lastpage
121
Abstract
A robust generalized likelihood ratio test (GLRT) detector is derived for targets in multiplicative noise with gamma-Weibull statistics. The target is assumed to have a spatial distribution (burstiness) modeled by the incomplete binomial distribution. The GLRT detector is found to be similar in performance to the optimized power law detector.
Keywords
Weibull distribution; binomial distribution; gamma distribution; maximum likelihood detection; noise; GLRT detector; bursty targets; gamma-Weibull statistics; generalized likelihood ratio test; incomplete binomial distribution; maximum likelihood estimates; multiplicative noise; optimized power law detector; performance; spatial distribution; Additive noise; Background noise; Detectors; Image sensors; Maximum likelihood estimation; Random variables; Signal to noise ratio; Statistical analysis; Statistical distributions; Testing;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.755433
Filename
755433
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