The problem of determining the track of a maneuvering target from passive measurements of the sensor to target line-of-sight is addressed. The standard approach to such an estimation problem, the extended Kalman filter (EKF), suffers from a range and range-rate bias that limits its usefulness. The cause of this bias has been identified as a correlation between the gain and innovations sequences that is inherent in the EKF. These previous results are presented and then a filter design is developed that reduces this unwanted effect. Simulation results reveal a performance improvement using the new filter design.<>


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    Titel :

    A federated extended Kalman filter with application to passive target tracking


    Beteiligte:
    Moorman, M.J. (Autor:in) / Bullock, T.E. (Autor:in)


    Erscheinungsdatum :

    01.01.1993


    Format / Umfang :

    468931 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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