Derivation of the PHD and CPHD Filters Based on Direct Kullback-Leibler Divergence Minimization

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Derivation of the PHD and CPHD Filters Based on Direct Kullback-Leibler Divergence Minimization

In this paper, we provide novel derivations of the probability hypothesis density (PHD) and cardinalised PHD (CPHD) filters without using probability generating functionals or functional derivatives. We show that both the PHD and CPHD filters fit in the context of assumed density filtering and impli...

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Bibliographic Details
Main Authors:	Garcia-Fernandez, Angel, Vo, Ba-Ngu
Format:	Journal Article
Published:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2015
Online Access:	http://purl.org/au-research/grants/arc/DP130104404 http://hdl.handle.net/20.500.11937/24733

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