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    Adaptive Target Birth Intensity for PHD and CPHD Filters

    Access Status
    Fulltext not available
    Authors
    Ristic, B.
    Clark, D.
    Vo, Ba-Ngu
    Vo, Ba Tuong
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Ristic, 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.
    Source Title
    IEEE Transactions on Aerospace and Electronic Systems
    DOI
    10.1109/TAES.2012.6178085
    ISSN
    00189251
    URI
    http://hdl.handle.net/20.500.11937/2650
    Collection
    • Curtin Research Publications
    Abstract

    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.

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