Rao-Blackwell dimension reduction applied to hazardous source parameter estimation
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- 作者：Branko Ristic<sup>asup><sup> ; sup><sup>branko.ristic@rmit.edu.au" class="auth_mail" title="E-mail the corresponding authorsup> ; Ajith Gunatilaka<sup>bsup> ; Yan Wang<sup>csup>
- 关键词：Bayesian estimation ; Chemical&ndash ; biological&ndash ; radiological defence ; Monte Carlo estimation ; Plume dispersion
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：132
- 期：Complete
- 页码：177-182
- 全文大小：616 K
文摘
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Application of statistical signal processing to parameter estimation of a chemical, biological, or radiological source.
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Bayesian estimation framework using the Monte Carlo method.
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The presentation in the context of biochemical substance release into the atmosphere.
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Rao–Blackwell dimension reduction results in higher statistical/computational efficiency.
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Algorithm verification by simulations and using an experimental dataset.