DocumentCode
3112056
Title
A mixture model approach to automatic radar target recognition using WinBUGS
Author
Briers, M. ; Copsey, K.D.
Author_Institution
QinetiQ Ltd., Malvern, UK
fYear
2002
fDate
15-17 Oct. 2002
Firstpage
400
Lastpage
404
Abstract
This paper considers the use of the software package WinBUGS for an application to a previously documented technique for automatic radar target recognition. Mixture models under a Bayesian formalism are used to model the probability densities of radar measurements from given classes. WinBUGS is then used to construct a Markov chain Monte Carlo sampler that allows implementation of this Bayesian approach. The model developed is applied to radar range profiles from seven classes of military ships.
Keywords
Bayes methods; Monte Carlo methods; military equipment; radar computing; radar target recognition; ships; software packages; Bayesian gamma mixture model; Markov chain Monte Carlo sampler; WinBUGS software package; automatic radar target recognition; military ships; mixture model; probability density; radar measurements; radar range profiles; Application software; Bayesian methods; Integral equations; Marine vehicles; Monte Carlo methods; Radar applications; Radar measurements; Sampling methods; Software packages; Target recognition;
fLanguage
English
Publisher
iet
Conference_Titel
RADAR 2002
Conference_Location
Edinburgh, UK
ISSN
0537-9989
Print_ISBN
0-85296-750-0
Type
conf
DOI
10.1109/RADAR.2002.1174730
Filename
1174730
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