It is known that colored noise may degrade the performance of a tracking algorithm. A common remedy is to model colored noise as an autoregressive (AR) process and apply the measurement difference method. One problem with the approach is that the AR parameters are usually unknown. In this work, we propose a new method to adaptively estimate the AR parameters. It is shown that this method is simple and practically feasible. We incorporate oar method into the interacting multiple model (IMM) tracking algorithm and show that the performance is almost as good as that in the known parameters case.


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    Titel :

    Maneuvering target tracking with colored noise


    Beteiligte:
    Wen-Rong Wu, (Autor:in) / Dah-Chung Chang, (Autor:in)


    Erscheinungsdatum :

    1996-10-01


    Format / Umfang :

    1048382 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Maneuvering Target Tracking with Colored Noise

    Wu, W.-R. | Online Contents | 1996



    Comments on "Maneuvering target tracking with colored noise" [with reply]

    Koteswara Rao, S. / Wu, W.R. / Chang, D.C. | IEEE | 1998


    Maneuvering Target Tracking with Non-Guassian Noise

    Song, X. / Sun, Z. / IEEE | British Library Conference Proceedings | 1997