DocumentCode :
15001
Title :
Modelling of inhomogeneity in radar clutter using Weibull mixture densities
Author :
Tri-Tan Van Cao
Author_Institution :
Defence Sci. & Technol. Organ. (DSTO), Edinburgh, SA, Australia
Volume :
8
Issue :
3
fYear :
2014
fDate :
Mar-14
Firstpage :
180
Lastpage :
194
Abstract :
In this study, it is demonstrated that inhomogeneity observed in a variety of radar experimental data can be modelled as a finite mixture of Weibull densities. An algorithm for identifying the parameters of each Weibull component in the mixture is developed. The proposed mixture identification algorithm is then applied to three representative sets of radar experimental data, and the quality of the statistical fit is assessed using the p-value, which is estimated based on the Kolmogorov-Smirnoff distance. An application of the Weibull mixture identification algorithm to detect an extended ground target is demonstrated. It is shown that based on the proposed Weibull mixture model, an optimal constant false-alarm rate detector can be implemented even in the presence of inhomogeneity.
Keywords :
Weibull distribution; object detection; radar clutter; radar detection; Kolmogorov-Smirnoff distance; Weibull mixture density; Weibull mixture identification algorithm; extended ground target detection; inhomogeneity modelling; optimal constant false-alarm rate detector; radar clutter; statistical fit;
fLanguage :
English
Journal_Title :
Radar, Sonar & Navigation, IET
Publisher :
iet
ISSN :
1751-8784
Type :
jour
DOI :
10.1049/iet-rsn.2012.0367
Filename :
6750811
Link To Document :
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