CPHD filtering with unknown clutter rate and detection profile
In Bayesian multi-target filtering we have to contend with two notable sources of uncertainty, clutter and detection. Knowledge of parameters such as clutter rate and detection profile are of critical importance in multi-target filters such as the probability hypothesis density (PHD) and Cardinalize...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/56359 |
| _version_ | 1848759854888386560 |
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| author | Mahler, R. Vo, Ba Tuong Vo, Ba-Ngu |
| author_facet | Mahler, R. Vo, Ba Tuong Vo, Ba-Ngu |
| author_sort | Mahler, R. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In Bayesian multi-target filtering we have to contend with two notable sources of uncertainty, clutter and detection. Knowledge of parameters such as clutter rate and detection profile are of critical importance in multi-target filters such as the probability hypothesis density (PHD) and Cardinalized PHD (CPHD) filters. Naive application of the CPHD (and PHD) filter with mismatches in clutter and detection model parameters results in biased estimates. In this paper we show how to use the CPHD (and PHD) filter in unknown clutter rate and detection profile. © 2011 IEEE. |
| first_indexed | 2025-11-14T10:06:30Z |
| format | Conference Paper |
| id | curtin-20.500.11937-56359 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:06:30Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-563592017-08-24T02:23:40Z CPHD filtering with unknown clutter rate and detection profile Mahler, R. Vo, Ba Tuong Vo, Ba-Ngu In Bayesian multi-target filtering we have to contend with two notable sources of uncertainty, clutter and detection. Knowledge of parameters such as clutter rate and detection profile are of critical importance in multi-target filters such as the probability hypothesis density (PHD) and Cardinalized PHD (CPHD) filters. Naive application of the CPHD (and PHD) filter with mismatches in clutter and detection model parameters results in biased estimates. In this paper we show how to use the CPHD (and PHD) filter in unknown clutter rate and detection profile. © 2011 IEEE. 2011 Conference Paper http://hdl.handle.net/20.500.11937/56359 restricted |
| spellingShingle | Mahler, R. Vo, Ba Tuong Vo, Ba-Ngu CPHD filtering with unknown clutter rate and detection profile |
| title | CPHD filtering with unknown clutter rate and detection profile |
| title_full | CPHD filtering with unknown clutter rate and detection profile |
| title_fullStr | CPHD filtering with unknown clutter rate and detection profile |
| title_full_unstemmed | CPHD filtering with unknown clutter rate and detection profile |
| title_short | CPHD filtering with unknown clutter rate and detection profile |
| title_sort | cphd filtering with unknown clutter rate and detection profile |
| url | http://hdl.handle.net/20.500.11937/56359 |