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dc.contributor.authorBeard, M.
dc.contributor.authorVo, Ba Tuong
dc.contributor.authorVo, Ba-Ngu
dc.date.accessioned2017-01-30T13:05:44Z
dc.date.available2017-01-30T13:05:44Z
dc.date.created2015-10-29T04:09:25Z
dc.date.issued2015
dc.identifier.citationBeard, M. and Vo, B.T. and Vo, B. 2015. Bayesian multi-target tracking with merged measurements using labelled random finite sets. Transactions on Signal Processing. 63 (6): pp. 1433-1447.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/28547
dc.identifier.doi10.1109/TSP.2015.2393843
dc.description.abstract

Most tracking algorithms in the literature assume that the targets always generate measurements independently of each other, i.e., the sensor is assumed to have infinite resolution. Such algorithms have been dominant because addressing the presence of merged measurements increases the computational complexity of the tracking problem, and limitations on computing resources often make this infeasible. When merging occurs, these algorithms suffer degraded performance, often due to tracks being terminated too early. In this paper, we use the theory of random finite sets (RFS) to develop a principled Bayesian solution to tracking an unknown and variable number of targets in the presence of merged measurements. We propose two tractable implementations of the resulting filter, with differing computational requirements. The performance of these algorithms is demonstrated by Monte Carlo simulations of a multi-target bearings-only scenario, where measurements become merged due to the effect of finite sensor resolution.

dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.titleBayesian multi-target tracking with merged measurements using labelled random finite sets
dc.typeJournal Article
dcterms.source.volume63
dcterms.source.number6
dcterms.source.startPage1433
dcterms.source.endPage1447
dcterms.source.issn1053-587X
dcterms.source.titleIEEE Transactions on Signal Processing
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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