A simple extended Kalman filter has been designed to track targets using outputs from a forward-looking infrared (FLIR) sensor as measurements. It exploits knowledge unused by current correlation trackers ¿ size, shape, and motion characteristics of target, and atmospheric jitter spectral description ¿ to yield enhanced performance. In order to track air-to-air missiles at close range, it incorportateson-line adaptation to target shape effects, changing target motion characteristics, and maximum signal intensity. It is shown to possess considerable performance potential for highly maneuverable targets despite background clutter.


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    Title :

    An Adaptive Extended Kalman Filter for Target Image Tracking


    Contributors:

    Published in:

    Publication date :

    1981-03-01


    Size :

    2122782 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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