Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view
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Authors
Vo, Ba Tuong
Vo, Ba-Ngu
Hoseinnezhad, R.
Mahler, R.
Date
2011Type
Conference Paper
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Vo, B.T. and Vo, B. and Hoseinnezhad, R. and Mahler, R. 2011. Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view.
Source Title
2011 45th Annual Conference on Information Sciences and Systems, CISS 2011
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School
Department of Electrical and Computer Engineering
Collection
Abstract
In Bayesian multi-target filtering knowledge of parameters such as clutter intensity and sensor field-of-view are of critical importance. Significant mismatches in clutter and sensor field of view model parameters results in biased estimates. In this paper we propose a multi-target filtering solution that can accommodate non-linear target model and unknown non-homogeneous clutter intensity and sensor field-of-view. Our solution is based on the multi-target multi-Bernoulli filter that adaptively learns non-homogeneous clutter intensity and sensor field-of-view while filtering. © 2011 IEEE.
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