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    Multitarget simultaneous localization and mapping of a sensor network

    Access Status
    Fulltext not available
    Authors
    Garcia Fernandez, Angel
    Morelande, M.
    Grajal, J.
    Date
    2011
    Type
    Journal Article
    
    Metadata
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    Citation
    Garcia Fernandez, A. and Morelande, M. and Grajal, J. 2011. Multitarget simultaneous localization and mapping of a sensor network. IEEE Transactions on Signal Processing. 59 (10): pp. 4544-4558.
    Source Title
    IEEE Transactions on Signal Processing
    DOI
    10.1109/TSP.2011.2160862
    ISSN
    1053-587X
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/62915
    Collection
    • Curtin Research Publications
    Abstract

    This paper addresses the problem of simultaneously localizing multiple targets and estimating the positions of the sensors in a sensor network using particle filters. We develop a new technique called multitarget simultaneous localization and mapping (MSLAM) that has better performance than the well-known FastSLAM when there are several targets in the surveillance area. The proposed algorithm is based on the parallel partition particle filter, especially designed for multiple target tracking, and the truncated unscented Kalman filter for updating the sensors' positions. © 2011 IEEE.

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