The problem of maneuvering target tracking in the presence of glint noise is addressed in this work. The main challenge in this problem stems from its nonlinearity and non-Gaussianity. A new estimator, named as nonlinear Gaussian mixture Kalman filter (NL-GMKF) is derived based on the minimum-mean-square error (MMSE) criterion and applied to the problem of maneuvering target tracking in the presence of glint. The tracking performance of the NL-GMKF is evaluated and compared with the interacting multiple modeling (IMM) implemented with extended Kalman filter (EKF), unscented Kalman filter (UKF), particle filter (PF) and the Gaussian sum PF (GSPF). It is shown that the NL-GMKF outperforms these algorithms in several examples with maneuvering target and/or glint noise measurements.


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    Title :

    Maneuvering Target Tracking in the Presence of Glint using the Nonlinear Gaussian Mixture Kalman Filter


    Contributors:
    Bilik, I. (author) / Tabrikian, J. (author)


    Publication date :

    2010-01-01


    Size :

    3244647 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Maneuvering target tracking using extended Kalman filter

    Cortina, E. / Otero, D. / D'Attellis, C.E. | IEEE | 1991



    IMM tracking of maneuvering targets in the presence of glint

    Daeipour, E. / Bar-Shalom, Y. | IEEE | 1998


    IMM tracking of maneuvering targets in the presence of glint

    Daeipour, E. / Bar-Shalom, Y. | Tema Archive | 1998