Techniques are presented for improving methods of aircraft identification and trajectory prediction. This work represents an extension of the advanced trackers that use both translation and attitude data to improve accuracy of trajectory tracking and prediction. The novel extension in this work deals with the development of a new tracking algorithm based on a radius of curvature estimator, use of regression based artificial measurements during the prediction interval and development of aircraft identification techniques for vehicles being tracked based on remote trajectory measurements. The procedure was evaluated with actual position and attitude trajectory data for a F-14A, AV-8B and A-6 aircraft acquired during training flights.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Aircraft Identification, Trajectory Tracking and Prediction


    Contributors:
    L. C. Cattani (author) / P. J. Eagle (author)

    Publication date :

    1995


    Size :

    88 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Long Range Aircraft Trajectory Prediction

    Tone Magister | DOAJ | 2009

    Free access

    Trajectory Prediction for Light Aircraft

    Maeder, U | Online Contents | 2011


    Aircraft Trajectory Tracking by Nonlinear Spatial Inversion

    Bouadi, Hakim / Mora-Camino, F. | AIAA | 2012


    Aircraft Trajectory Tracking by Nonlinear Spatial Inversion

    Mora-Camino, F. / Bouadi, H. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2012


    Aircraft trajectory prediction for terminal automation

    STURDY, JAMES / ANDREWS, JOHN / WELCH, JERRY | AIAA | 1989