In this paper, the problem of target tracking with glint noise is considered. We apply a radial basis function (RBF) neural network to evaluate the nonlinear score function, which is used as the correction term in the state estimation of robust Kalman filter. Simulation results are presented to demonstrate the performance of the evaluation of the score function.


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    Titel :

    Target tracking with glint noise using an RBF neural network


    Beteiligte:
    Wei Yan (Autor:in) / Zhaoda Zhu (Autor:in)


    Erscheinungsdatum :

    01.01.1996


    Format / Umfang :

    326176 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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