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dc.contributor.authorMahler, R.
dc.contributor.authorVo, Ba Tuong
dc.contributor.authorVo, Ba-Ngu
dc.date.accessioned2017-08-24T02:23:40Z
dc.date.available2017-08-24T02:23:40Z
dc.date.created2017-08-23T07:21:44Z
dc.date.issued2011
dc.identifier.citationMahler, R. and Vo, B.T. and Vo, B. 2011. CPHD filtering with unknown clutter rate and detection profile.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/56359
dc.description.abstract

In Bayesian multi-target filtering we have to contend with two notable sources of uncertainty, clutter and detection. Knowledge of parameters such as clutter rate and detection profile are of critical importance in multi-target filters such as the probability hypothesis density (PHD) and Cardinalized PHD (CPHD) filters. Naive application of the CPHD (and PHD) filter with mismatches in clutter and detection model parameters results in biased estimates. In this paper we show how to use the CPHD (and PHD) filter in unknown clutter rate and detection profile. © 2011 IEEE.

dc.titleCPHD filtering with unknown clutter rate and detection profile
dc.typeConference Paper
dcterms.source.titleFusion 2011 - 14th International Conference on Information Fusion
dcterms.source.seriesFusion 2011 - 14th International Conference on Information Fusion
dcterms.source.isbn9781457702679
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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