Sequential multiple target detection using particle filters
dc.contributor.author | Garcia Fernandez, Angel | |
dc.contributor.author | Grajal, J. | |
dc.date.accessioned | 2017-07-27T05:22:45Z | |
dc.date.available | 2017-07-27T05:22:45Z | |
dc.date.created | 2017-07-26T11:11:19Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Garcia Fernandez, A. and Grajal, J. 2011. Sequential multiple target detection using particle filters, pp. 745-748. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/54964 | |
dc.identifier.doi | 10.1109/SSP.2011.5967811 | |
dc.description.abstract |
We create and compare three sequential hypothesis tests for multiple target detection using particle filters. The algorithm with best performance assigns a variable number of particles to each hypothesis according to the posterior probabilities to optimise computational resources. Besides, the posterior probabilities of the hypotheses are calculated in a robust way regarding sample degeneracy. © 2011 IEEE. | |
dc.title | Sequential multiple target detection using particle filters | |
dc.type | Conference Paper | |
dcterms.source.startPage | 745 | |
dcterms.source.endPage | 748 | |
dcterms.source.title | IEEE Workshop on Statistical Signal Processing Proceedings | |
dcterms.source.series | IEEE Workshop on Statistical Signal Processing Proceedings | |
dcterms.source.isbn | 9781457705700 | |
curtin.department | Department of Electrical and Computer Engineering | |
curtin.accessStatus | Fulltext not available |
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