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    Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement

    Access Status
    Fulltext not available
    Authors
    Liang, M.
    Kim, Du Yong
    Kai, X.
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Liang, M. and Kim, D.Y. and Kai, X. 2015. Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement. Signal Processing. 108: pp. 102-110.
    Source Title
    Signal Processing
    DOI
    10.1016/j.sigpro.2014.09.013
    ISSN
    0165-1684
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/56171
    Collection
    • Curtin Research Publications
    Abstract

    Multi-static Doppler-shift has re-emerged recently in the target tracking literature along with passive sensing, especially for aircraft tracking. Tracking with multi-static Doppler only measurement requires efficient multi-sensor fusion approach and optimal sensor network configuration if possible. In this paper, we present a solution for multi-target tracking with Doppler only measurements using the multi-Bernoulli filter. To utilize Doppler measurements from multiple sensors, we investigate different multi-sensor fusion schemes and the sensor-target geometry analysis for optimal multi-static Doppler sensor network configuration. Sensor-target geometry analysis is presented to investigate optimal multi-static Doppler sensor network configuration. Numerical results verify that the proposed sequential Monte Carlo (SMC) multi-Bernoulli filter with sequential update scheme and using the carefully chosen network shows good performance.

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