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    An improved CPHD filter for unknown clutter backgrounds

    Access Status
    Fulltext not available
    Authors
    Mahler, R.
    Vo, Ba Tuong
    Date
    2014
    Type
    Conference Paper
    
    Metadata
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    Citation
    Mahler, 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).
    Source Title
    Proceedings of SPIE - The International Society for Optical Engineering
    Source Conference
    Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII
    DOI
    10.1117/12.2050013
    ISBN
    978-162841028-0
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/6971
    Collection
    • Curtin Research Publications
    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.

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      The "background-agnostic" CPHD filter was introduced at the 2010 SPIE Defense, Security and Sensing Symposium in 2010. It is a CPHD filter that is capable of operation when both the clutter background and the target-detection ...
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