The important tracking problem by radar of an incoming ballistic missile system, which contains uncertainty in modeling and noise in both dynamics and measurements, is studied. The classical extended Kalman filter (EKF) is no longer applicable to such an uncertain system, and so a new extended interval Kalman filter (EIKF) is developed for tracking the missile system. Computer simulation is presented to show the effectiveness of the EIKF algorithm for this uncertain and nonlinear ballistic missile tracking problem.


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    Titel :

    Tracking an incoming ballistic missile using an extended interval Kalman filter


    Beteiligte:
    Siouris, G.M. (Autor:in) / Guanrong Chen (Autor:in) / Jianrong Wang (Autor:in)


    Erscheinungsdatum :

    01.01.1997


    Format / Umfang :

    1607747 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch