Adaptive Target Birth Intensity for PHD and CPHD Filters
The standard formulation of the probability hypothesis density (PHD) and cardinalised PHD (CPHD) filters assumes that the target birth intensity is known a priori. In situations where the targets can appear anywhere in the surveillance volume this is clearly inefficient, since the target birth inten...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Aerospace & Electronic Systems Society
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/2650 |
| _version_ | 1848744012010225664 |
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| author | Ristic, B. Clark, D. Vo, Ba-Ngu Vo, Ba Tuong |
| author_facet | Ristic, B. Clark, D. Vo, Ba-Ngu Vo, Ba Tuong |
| author_sort | Ristic, B. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The standard formulation of the probability hypothesis density (PHD) and cardinalised PHD (CPHD) filters assumes that the target birth intensity is known a priori. In situations where the targets can appear anywhere in the surveillance volume this is clearly inefficient, since the target birth intensity needs to cover the entire state space. This paper presents a new extension of the PHD and CPHD filters, which distinguishes between the persistent and the newborn targets. This extension enables us to adaptively design the target birth intensity at each scan using the received measurements. Sequential Monte-Carlo (SMC) implementations of the resulting PHD and CPHD filters are presented and their performance studied numerically. The proposed measurement-driven birth intensity improves the estimation accuracy of both the number of targets and their spatial distribution. |
| first_indexed | 2025-11-14T05:54:41Z |
| format | Journal Article |
| id | curtin-20.500.11937-2650 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:54:41Z |
| publishDate | 2012 |
| publisher | Aerospace & Electronic Systems Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-26502017-09-13T14:30:53Z Adaptive Target Birth Intensity for PHD and CPHD Filters Ristic, B. Clark, D. Vo, Ba-Ngu Vo, Ba Tuong The standard formulation of the probability hypothesis density (PHD) and cardinalised PHD (CPHD) filters assumes that the target birth intensity is known a priori. In situations where the targets can appear anywhere in the surveillance volume this is clearly inefficient, since the target birth intensity needs to cover the entire state space. This paper presents a new extension of the PHD and CPHD filters, which distinguishes between the persistent and the newborn targets. This extension enables us to adaptively design the target birth intensity at each scan using the received measurements. Sequential Monte-Carlo (SMC) implementations of the resulting PHD and CPHD filters are presented and their performance studied numerically. The proposed measurement-driven birth intensity improves the estimation accuracy of both the number of targets and their spatial distribution. 2012 Journal Article http://hdl.handle.net/20.500.11937/2650 10.1109/TAES.2012.6178085 Aerospace & Electronic Systems Society restricted |
| spellingShingle | Ristic, B. Clark, D. Vo, Ba-Ngu Vo, Ba Tuong Adaptive Target Birth Intensity for PHD and CPHD Filters |
| title | Adaptive Target Birth Intensity for PHD and CPHD Filters |
| title_full | Adaptive Target Birth Intensity for PHD and CPHD Filters |
| title_fullStr | Adaptive Target Birth Intensity for PHD and CPHD Filters |
| title_full_unstemmed | Adaptive Target Birth Intensity for PHD and CPHD Filters |
| title_short | Adaptive Target Birth Intensity for PHD and CPHD Filters |
| title_sort | adaptive target birth intensity for phd and cphd filters |
| url | http://hdl.handle.net/20.500.11937/2650 |