DocumentCode :
477021
Title :
Parameter estimation of a continuous chemical plume source
Author :
Gunatilaka, Ajith ; Ristic, Branko ; Skvortsov, Alex ; Morelande, Mark
Author_Institution :
HPP Div., DSTO, Fishermans Bend, VIC
fYear :
2008
fDate :
June 30 2008-July 3 2008
Firstpage :
1
Lastpage :
8
Abstract :
The problem is estimation of the strength (emission rate) and the location of a chemical source from which a contaminant is released continuously into the atmosphere. The concentration of the contaminant is measured at regular intervals by a network of spatially distributed chemical sensors. The transport of the contaminant is modeled by turbulent diffusion and fluctuating plume concentration. The source parameter estimation is solved in the sequential Bayesian framework, with the posterior expectation approximated using Monte Carlo integration. In order to deal with the vague prior, importance sampling is implemented using the progressive correction technique. The paper presents numerical analysis of statistical performance of the proposed algorithms for different sensor configurations.
Keywords :
Bayes methods; Monte Carlo methods; chemical hazards; chemical sensors; contamination; parameter estimation; sensor fusion; turbulent diffusion; Monte Carlo estimation; contaminant concentration; continuous chemical plume source; distributed chemical sensors; importance sampling; parameter estimation; progressive correction technique; sequential Bayesian framework; turbulent diffusion; Bayesian inference; CBRN data fusion; Monte Carlo estimation; chemical plume; progressive correction; source localisation; turbulent diffusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2008 11th International Conference on
Conference_Location :
Cologne
Print_ISBN :
978-3-8007-3092-6
Electronic_ISBN :
978-3-00-024883-2
Type :
conf
Filename :
4632408
Link To Document :
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