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dc.contributor.authorMahler, R.
dc.contributor.authorVo, Ba Tuong
dc.contributor.editorIvan Kadar
dc.date.accessioned2017-01-30T10:56:51Z
dc.date.available2017-01-30T10:56:51Z
dc.date.created2015-05-22T08:32:19Z
dc.date.issued2014
dc.identifier.citationMahler, R. and Vo, B.T. 2014. An improved CPHD filter for unknown clutter backgrounds, in Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, May 5 2014. Baltimore, MD, United States: International Society for Optical Engineering (SPIE).
dc.identifier.urihttp://hdl.handle.net/20.500.11937/6971
dc.identifier.doi10.1117/12.2050013
dc.description.abstract

The “clutter-agnostic” CPHD filter was introduced at the 2010 SPIE Defense, Security and Sensing Symposium in 2010, and has been investigated in subsequent papers. This “k-CPHD filter” was capable of multitarget detection and tracking in unknown, dynamically changing clutter backgrounds. It was also capable of estimating the entire intensity function of the clutter process. The purpose of this paper is to introduce a generalization of this filter. The generalized k-CPHD filter has the following two major improvements: (1) a formula for the probability distribution on the number of targets (target cardinality distribution); and (2) a formula for the probability distribution of the number of clutter measurements (clutter cardinality distribution). More generally, the entire probability distribution of the clutter process can be estimated.

dc.publisherS P I E - International Society for Optical Engineering
dc.titleAn improved CPHD filter for unknown clutter backgrounds
dc.typeConference Paper
dcterms.source.titleProceedings of SPIE - The International Society for Optical Engineering
dcterms.source.seriesProceedings of SPIE - The International Society for Optical Engineering
dcterms.source.isbn978-162841028-0
dcterms.source.conferenceSignal Processing, Sensor/Information Fusion, and Target Recognition XXIII
dcterms.source.conference-start-dateMay 5 2014
dcterms.source.conferencelocationBaltimore, MD; United States
dcterms.source.placeUnited States
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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