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dc.contributor.authorGarcia Fernandez, Angel
dc.contributor.authorGrajal, J.
dc.date.accessioned2017-07-27T05:22:45Z
dc.date.available2017-07-27T05:22:45Z
dc.date.created2017-07-26T11:11:19Z
dc.date.issued2011
dc.identifier.citationGarcia Fernandez, A. and Grajal, J. 2011. Sequential multiple target detection using particle filters, pp. 745-748.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/54964
dc.identifier.doi10.1109/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.titleSequential multiple target detection using particle filters
dc.typeConference Paper
dcterms.source.startPage745
dcterms.source.endPage748
dcterms.source.titleIEEE Workshop on Statistical Signal Processing Proceedings
dcterms.source.seriesIEEE Workshop on Statistical Signal Processing Proceedings
dcterms.source.isbn9781457705700
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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