Tracking a maneuvering target in a nonlinear interference environment has been discussed in some literature, and this paper considers the problems of tracking in the non-Gaussian noise environment and then tracking with multiple passive sensors. The method of target state estimation in this paper is a dynamic programming approach. Unlike the traditional method, the estimating problem is reduced to a multiple hypothesis-testing problem, and then is solved by using the dynamic programming algorithm. The simulation results show the superiority of the new method to EKF.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Maneuvering target tracking with non-Gaussian noise


    Beteiligte:
    Song Xiaoquan (Autor:in) / Sun Zhongkang (Autor:in)


    Erscheinungsdatum :

    01.01.1997


    Format / Umfang :

    451651 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Maneuvering target tracking with colored noise

    Wen-Rong Wu / Dah-Chung Chang | IEEE | 1996


    Maneuvering Target Tracking with Colored Noise

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


    Maneuvering Target Tracking with Non-Guassian Noise

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


    Maneuvering target tracking: A Gaussian mixture based IMM estimator

    Laneuville, Dann / Bar-Shalom, Yaakov | IEEE | 2012