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    Bernouli Forward-Backward Smoothing for Track-Before-Detect

    Access Status
    Fulltext not available
    Authors
    Wong, S.
    Vo, Ba Tuong
    Papi, F.
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Wong, S. and Vo, B.T. and Papi, F. 2014. Bernoulli Forward-Backward Smoothing for Track-Before-Detect. IEEE Signal Processing Letters. 21 (6): pp. 727-731.
    Source Title
    IEEE Signal Processing Letters
    DOI
    10.1109/LSP.2014.2310137
    ISSN
    1070-9908
    URI
    http://hdl.handle.net/20.500.11937/21184
    Collection
    • Curtin Research Publications
    Abstract

    Track-before-detect (TBD) refers to an alternative approach to tracking which utilizes the full sensor information rather than detections obtained from thresholding. In this letter we investigate whether forward-backward smoothing for TBD can increase performance. We propose a novel algorithm based on the random finite set framework which incorporates the TBD sensor model with multi-scan information. The algorithm is tested on a typical scenario which confirms improved tracking.

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