The paper considers the problem of tracking multiple maneuvering targets in the presence of clutter using switching multiple target motion models. A novel suboptimal filtering algorithm is developed by applying the basic interacting multiple model (IMM) approach and the joint probabilistic data association (JPDA) technique. Unlike the standard single-scan JPDA approach, the authors exploit a multiscan joint probabilistic data association (mscan-JPDA) approach to solve the data association problem. The algorithm is illustrated via a simulation example involving tracking of four maneuvering targets and a multiscan data window of length two


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    Title :

    Tracking of multiple maneuvering targets using multiscan JPDA and IMM filtering


    Contributors:
    Puranik, S. (author) / Tugnait, J.K. (author)


    Publication date :

    2007-01-01


    Size :

    1757097 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English