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dc.contributor.authorEl-Fallah, A.
dc.contributor.authorZatezalo, A.
dc.contributor.authorMahler, Ronald
dc.contributor.authorMehra, R.
dc.contributor.authorPereira, W.
dc.date.accessioned2017-08-24T02:20:59Z
dc.date.available2017-08-24T02:20:59Z
dc.date.created2017-08-23T07:21:50Z
dc.date.issued2013
dc.identifier.citationEl-Fallah, A. and Zatezalo, A. and Mahler, R. and Mehra, R. and Pereira, W. 2013. Background agnostic CPHD tracking of dim targets in heavy clutter.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/55887
dc.identifier.doi10.1117/12.2017994
dc.description.abstract

Detection and tracking of dim targets in heavy clutter environments is a daunting theoretical and practical problem. Application of the recently developed Background Agnostic Cardinalized Probability Hypothesis Density (BA-CPHD) filter provides a very promising approach that adequately addresses all the complexities and the nonlinear nature of this problem. In this paper, we present analysis, derivation, development, and application of a BA-CPHD implementation for tracking dim ballistic targets in environments with a range of unknown clutter rates, unknown clutter distribution, and unknown target probability of detection. The effectiveness and accuracy of the implemented algorithms are assessed and evaluated. Results that evaluate and also demonstrate the specific merits of the proposed approach are presented. © 2013 SPIE.

dc.titleBackground agnostic CPHD tracking of dim targets in heavy clutter
dc.typeConference Paper
dcterms.source.volume8745
dcterms.source.titleProceedings of SPIE - The International Society for Optical Engineering
dcterms.source.seriesProceedings of SPIE - The International Society for Optical Engineering
dcterms.source.isbn9780819495365
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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