High maneuvering targets normally maneuver on circular paths which have lead to tracking filters on circular turns. In this paper, an innovation technique is presented to combine the tracking-maneuvering target problems using fuzzy logic and augmented Kalman filter. The proposed combined filter is composed of two automatic switching modes: one for the mild maneuver using augmented Kalman filter and the other for the high maneuver using fuzzy acceleration prediction method. It is demonstrated by means of numerical acceleration examples that the tracking capability of the proposed mixed method is essentially as good as that of the augmented method, especially at high maneuver target.


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    Title :

    A new algorithm based on combined fuzzy logic and Kalman filter for target maneuver detection


    Contributors:
    Bahari, M.H. (author) / Karsaz, A. (author) / Khaloozadeh, H. (author)


    Publication date :

    2006-01-01


    Size :

    3776149 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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