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dc.contributor.authorRistic, B.
dc.contributor.authorClark, D.
dc.contributor.authorVo, Ba-Ngu
dc.contributor.authorVo, Ba Tuong
dc.identifier.citationRistic, B. and Clark, D. and Vo, B. and Vo, B.T. 2012. Adaptive Target Birth Intensity for PHD and CPHD Filters. IEEE Transactions on Aerospace and Electronic Systems. 48 (2): pp. 1656-1668.

The standard formulation of the probability hypothesis density (PHD) and cardinalised PHD (CPHD) filters assumes that the target birth intensity is known a priori. In situations where the targets can appear anywhere in the surveillance volume this is clearly inefficient, since the target birth intensity needs to cover the entire state space. This paper presents a new extension of the PHD and CPHD filters, which distinguishes between the persistent and the newborn targets. This extension enables us to adaptively design the target birth intensity at each scan using the received measurements. Sequential Monte-Carlo (SMC) implementations of the resulting PHD and CPHD filters are presented and their performance studied numerically. The proposed measurement-driven birth intensity improves the estimation accuracy of both the number of targets and their spatial distribution.

dc.publisherAerospace & Electronic Systems Society
dc.titleAdaptive Target Birth Intensity for PHD and CPHD Filters
dc.typeJournal Article
dcterms.source.titleIEEE Transactions on Aerospace and Electronic Systems
curtin.accessStatusFulltext not available

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