Bernouli Forward-Backward Smoothing for Track-Before-Detect
Track-before-detect (TBD) refers to an alternative approach to tracking which utilizes the full sensor information rather than detections obtained from thresholding. In this letter we investigate whether forward-backward smoothing for TBD can increase performance. We propose a novel algorithm based...
| Main Authors: | , , |
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| Format: | Journal Article |
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Institute of Electrical and Electronics Engineers
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/21184 |
| _version_ | 1848750519382704128 |
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| author | Wong, S. Vo, Ba Tuong Papi, F. |
| author_facet | Wong, S. Vo, Ba Tuong Papi, F. |
| author_sort | Wong, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Track-before-detect (TBD) refers to an alternative approach to tracking which utilizes the full sensor information rather than detections obtained from thresholding. In this letter we investigate whether forward-backward smoothing for TBD can increase performance. We propose a novel algorithm based on the random finite set framework which incorporates the TBD sensor model with multi-scan information. The algorithm is tested on a typical scenario which confirms improved tracking. |
| first_indexed | 2025-11-14T07:38:07Z |
| format | Journal Article |
| id | curtin-20.500.11937-21184 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:38:07Z |
| publishDate | 2014 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-211842017-09-13T13:53:47Z Bernouli Forward-Backward Smoothing for Track-Before-Detect Wong, S. Vo, Ba Tuong Papi, F. tracking filtering estimation Detection smoothing Track-before-detect (TBD) refers to an alternative approach to tracking which utilizes the full sensor information rather than detections obtained from thresholding. In this letter we investigate whether forward-backward smoothing for TBD can increase performance. We propose a novel algorithm based on the random finite set framework which incorporates the TBD sensor model with multi-scan information. The algorithm is tested on a typical scenario which confirms improved tracking. 2014 Journal Article http://hdl.handle.net/20.500.11937/21184 10.1109/LSP.2014.2310137 Institute of Electrical and Electronics Engineers restricted |
| spellingShingle | tracking filtering estimation Detection smoothing Wong, S. Vo, Ba Tuong Papi, F. Bernouli Forward-Backward Smoothing for Track-Before-Detect |
| title | Bernouli Forward-Backward Smoothing for Track-Before-Detect |
| title_full | Bernouli Forward-Backward Smoothing for Track-Before-Detect |
| title_fullStr | Bernouli Forward-Backward Smoothing for Track-Before-Detect |
| title_full_unstemmed | Bernouli Forward-Backward Smoothing for Track-Before-Detect |
| title_short | Bernouli Forward-Backward Smoothing for Track-Before-Detect |
| title_sort | bernouli forward-backward smoothing for track-before-detect |
| topic | tracking filtering estimation Detection smoothing |
| url | http://hdl.handle.net/20.500.11937/21184 |