Regression modelling of trajectory measurement data was examined as a means for improving the performance of aircraft trajectory tracking and prediction. Regression models were used for adaptively removing measurement noise from trajectory observations and extrapolating trajectory measurements. A comparative study was done between three models of aircraft dynamics used in an extended Kalman filter: a strictly translational model, and an attitude/translation model that uses vehicle specific inertial characteristics. Adaptive regression models were used for measurement accuracy enhancement. Comparisons were also made between errors resulting from position and a predictions using Runge-Kutta integration and extrapolated regression models. Tracking, Trajectory, Kalman filter, Estimation, Regression, Trackers.


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    Titel :

    Aircraft Trajectory Tracking and Prediction


    Beteiligte:
    L. C. Cattani (Autor:in) / P. J. Eagle (Autor:in) / Z. Lin (Autor:in) / X. Liu (Autor:in) / F. P. Kuhl (Autor:in)

    Erscheinungsdatum :

    1993


    Format / Umfang :

    56 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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