An algorithm is presented for tracking a highly maneuvering target using two different sensors, a radar and an infrared sensor, assumed to operate in a cluttered environment. The nonparametric probabilist data association filter (PDAF) has been adapted for the multisensor (MS) case, yielding the MSPDAF. To accommodate the fact that the target can be highly maneuvering, the interacting multiple model (IMM) approach is used. The results of single-model-based filters and of the IMM/MSPDAF algorithm with two and three models are presented and compared. The IMM has been shown to be able to adapt itself to the type of motion exhibited by the target in the presence of heavy clutter. It yielded high accuracy in the absence of acceleration and kept the target in track during the high acceleration periods.<>


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    Title :

    Multisensor tracking of a maneuvering target in clutter


    Contributors:
    Houles, A. (author) / Bar-Shalom, Y. (author)


    Publication date :

    1989-03-01


    Size :

    844721 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English