In target tracking, the measurement noise is usually assumed to be Gaussian. However, the Gaussian modeling of the noise may not be true. Noise can be non-Gaussian. The non-Gaussian noise arising in a radar system is known as glint noise. The distribution of glint noise is long tailed and will seriously affect the tracking performance. We develop a new algorithm that can effectively track a maneuvering target in the glint environment The algorithm incorporates the nonlinear Masreliez filter into the interactive multiple model (IMM) method. Simulations demonstrate the superiority of the new algorithm.<>


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    Titel :

    A nonlinear IMM algorithm for maneuvering target tracking


    Beteiligte:
    Wen-Rong Wu (Autor:in) / Peen-Pau Cheng (Autor:in)


    Erscheinungsdatum :

    01.07.1994


    Format / Umfang :

    939514 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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