We consider the problem of tracking multiple maneuvering targets in clutter using switching multiple target motion models. A novel suboptimal filtering algorithm is developed by applying the basic interacting multiple model (IMM) approach, the joint probabilistic data association (JPDA) technique and coupled target state estimation to a Markovian switching system. The algorithm is illustrated via a simulation example involving tracking of two highly maneuvering, at times closely spaced, targets.


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    Title :

    Tracking of multiple maneuvering targets in clutter using multiple sensors, IMM, and JPDA coupled filtering


    Contributors:


    Publication date :

    2004-01-01


    Size :

    513472 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English