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    Robust multisensor multitarget tracker with application to passive multistatic radar tracking

    Access Status
    Fulltext not available
    Authors
    Battistelli, G.
    Chisci, L.
    Morrocchi, S.
    Papi, Francesco
    Farina, A.
    Graziano, A.
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Battistelli, G. and Chisci, L. and Morrocchi, S. and Papi, F. and Farina, A. and Graziano, A. 2012. Robust multisensor multitarget tracker with application to passive multistatic radar tracking. IEEE Transactions on Aerospace and Electronic Systems. 48 (4): pp. 3450-3472.
    Source Title
    IEEE Transactions on Aerospace and Electronic Systems
    DOI
    10.1109/TAES.2012.6324726
    ISSN
    0018-9251
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/37924
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a novel approach to multitarget multisensor tracking, based on the combination of a probability hypothesis density (PHD) smoother and hard multisensor multiscan data association (MMDA) used in a feedback connection. The PHD smoother allows to initiate target tracks without resorting to complicated measurement-to-measurement association procedures while the feedback from the hard MMDA, besides providing track labeling, makes the PHD smoother, and hence the overall tracker, more robust to missed detections and false alarms. An application of the proposed tracker to passive multistatic radar tracking is worked out in order to demonstrate its effectiveness in critical situations where the lack of single-sensor observability prevents the use of traditional track initiation methods. As a further contribution, an extension to the multisensor case of the multicommodity approach to multiscan data association, originally presented for the single-sensor case, is provided. © 2011 IEEE.

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