A methodology for the tracking of maneuvering targets is presented. A quickest-detection scheme based on the innovation sequence is developed for a prompt detection of target maneuvers. The optimal length of a sliding window that minimizes the maneuver detection delay for a given false-alarm rate is determined. After maneuver detection, the system model is modified by adding a maneuver term. A recursive algorithm is proposed to estimate the maneuver magnitude. With this estimate, a modified Kalman filter is used for tracking. Simulation results demonstrate the superior performance of the algorithm, especially during target maneuvers.<>


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    Title :

    A tracking algorithm for maneuvering targets


    Contributors:
    Wang, T.C. (author) / Varshney, P.K. (author)


    Publication date :

    1993-07-01


    Size :

    1034696 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English