This paper considers the problem of forming and maintaining tracks when measurements have both uncertain origin and are corrupted by additive sensor noise. The spatial clutter measurement density is assumed nonhomogeneous and known. The PPDA-MAP algorithm provides a set of recursive formulae for data association and probability of target existence, thus enabling automatic track initiation, track maintenance, and track termination. New values for initial probability of target existence for IPDA-type algorithm are also derived. Simulation results compare the performance of IPDA-MAP with IPDA, IMM-PDA, IMM-PDA-MAP, EB-PDA and EB-PDA-MAP in a heavy and nonuniform clutter situation.


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    Title :

    Clutter map information for data association and track initialization


    Contributors:
    Musicki, D. (author) / Evans, R. (author)


    Publication date :

    2004-04-01


    Size :

    704989 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English