The design of adaptive filters for the tracking of high-performance maneuvering targets is a fundamental problem in real-time surveillance systems. As is well known, a filter which provides heavy smoothing can not accurately track an evasive maneuver, and conversely. Consequently, one is led to the consideration of adaptive methods of filter design. This paper presents an improved self-adaptive filter algorithm for on-line solution of the above problem. Basically, this algorithm utilizes the orthogonality property of the residual time series to force the filter to automatically track the optimal gain levels in a changing environment.


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    Titel :

    Unsupervised Tracking of Maneuvering Vehicles


    Beteiligte:
    Hampton, R.L.T. (Autor:in) / Cooke, James R. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.03.1973


    Format / Umfang :

    2314224 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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