A Cartesian coordinate linear regression filter is utilized for tracking maneuvering aircraft targets. Measurements of target position are made in a line-of-sight coordinate frame, but filtering is performed in Cartesian coordinates. Numerical results are given for optimizing the truncation time constant such that a good balance is obtained between the dynamic errors and the standard deviations. Lower bounds on the dynamic errors are established for the Cartesian coordinate linear regression filter and compared with a line-of-sight coordinate Kalman filter.


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    Titel :

    Linear Regression Filtering and Prediction for Tracking Maneuvering Aircraft Targets


    Beteiligte:
    Spingarn, K. (Autor:in) / Weidemann, H. L. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    1972-11-01


    Format / Umfang :

    2383839 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch