Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view
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 solutio...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/55205 |
| _version_ | 1848759561737994240 |
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| author | Vo, Ba Tuong Vo, Ba-Ngu Hoseinnezhad, R. Mahler, R. |
| author_facet | Vo, Ba Tuong Vo, Ba-Ngu Hoseinnezhad, R. Mahler, R. |
| author_sort | Vo, Ba Tuong |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:01:51Z |
| format | Conference Paper |
| id | curtin-20.500.11937-55205 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:01:51Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-552052017-09-13T16:10:07Z Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view Vo, Ba Tuong Vo, Ba-Ngu Hoseinnezhad, R. Mahler, R. 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. 2011 Conference Paper http://hdl.handle.net/20.500.11937/55205 10.1109/CISS.2011.5766180 restricted |
| spellingShingle | Vo, Ba Tuong Vo, Ba-Ngu Hoseinnezhad, R. Mahler, R. Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view |
| title | Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view |
| title_full | Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view |
| title_fullStr | Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view |
| title_full_unstemmed | Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view |
| title_short | Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view |
| title_sort | multi-bernoulli filtering with unknown clutter intensity and sensor field-of-view |
| url | http://hdl.handle.net/20.500.11937/55205 |