A suboptimal Kalman filter design method is presented for the problem of tracking a maneuvering target. The design method is essentially based on linear target dynamics and linear-like structured measurements called pseudomeasurements. The pseudomeasurements are obtained by manipulating the original nonlinear measurements algebraically. The resulting filter has computational advantages over other filters with similar performance. Also, a variant of the Berg model is proposed as a target acceleration model under the assumption of a coordinated turn maneuver. The proposed model is consistent with the underlying assumption. Monte Carlo computer simulation results are included to demonstrate the effectiveness of the proposed suboptimal filter associated with the target acceleration model.<>


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    Titel :

    Suboptimal filter design with pseudomeasurements for target tracking


    Beteiligte:
    Song, T.L. (Autor:in) / Ahn, J.Y. (Autor:in) / Park, C. (Autor:in)


    Erscheinungsdatum :

    01.01.1988


    Format / Umfang :

    765251 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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