Probability hypothesis density filter for parameter estimation of multiple hazardous sources

DOI10.1016/j.jfranklin.2024.107198MaRDI QIDQ6669338

Cunjia Liu, Abdullahi Daniyan, Wen-Hua Chen

Publication date: 22 January 2025

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

zbMATH Keywords

Bayesian estimationsequential Monte Carloparticle filteringsensor networksprobability hypothesis densityplume dispersionenvironmental monitoringrandom finite setsPHDGaussian plumebiochemical hazardscontaminant source localizationmulti-source trackingRFSsource term estimation

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

• Unnamed Item
• Inverse dispersion for an unknown number of sources: model selection and uncertainty analysis
• Localization of unknown sources for parabolic systems on the basis of available observations
• Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter
• A Consistent Metric for Performance Evaluation of Multi-Object Filters
• The Gaussian Mixture Probability Hypothesis Density Filter
• Source localization by spatially distributed electronic noses for advection and diffusion

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