Bernouli Forward-Backward Smoothing for Track-Before-Detect
| dc.contributor.author | Wong, S. | |
| dc.contributor.author | Vo, Ba Tuong | |
| dc.contributor.author | Papi, F. | |
| dc.date.accessioned | 2017-01-30T12:23:43Z | |
| dc.date.available | 2017-01-30T12:23:43Z | |
| dc.date.created | 2014-07-02T20:00:25Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Wong, S. and Vo, B.T. and Papi, F. 2014. Bernoulli Forward-Backward Smoothing for Track-Before-Detect. IEEE Signal Processing Letters. 21 (6): pp. 727-731. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/21184 | |
| dc.identifier.doi | 10.1109/LSP.2014.2310137 | |
| dc.description.abstract |
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. | |
| dc.publisher | Institute of Electrical and Electronics Engineers | |
| dc.subject | tracking | |
| dc.subject | filtering | |
| dc.subject | estimation | |
| dc.subject | Detection | |
| dc.subject | smoothing | |
| dc.title | Bernouli Forward-Backward Smoothing for Track-Before-Detect | |
| dc.type | Journal Article | |
| dcterms.source.volume | 21 | |
| dcterms.source.number | 6 | |
| dcterms.source.startPage | 727 | |
| dcterms.source.endPage | 731 | |
| dcterms.source.issn | 1070-9908 | |
| dcterms.source.title | IEEE Signal Processing Letters | |
| curtin.department | ||
| curtin.accessStatus | Fulltext not available |