In this article, an orbit determination method is introduced which is based on the integration of space-based and ground-based tracking data and the spline representation of trajectory. The feasibility of spline representation of trajectory is introduced and proved in the first; Subsequently, the problem of measurement element optimization and data weighting are solved, and the effect of measurement element on parameter estimation in linear model is analyzed and evaluated in detail; Finally theoretically analysis proves that the measuring element weighting can improve the parameters estimation precision in consideration of measuring element linearity and correlation.


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    Titel :

    The Integration Algorithm of Space-Based and Ground-Based Tracking Data for Measurement Element


    Beteiligte:
    Ma, Yan (Autor:in) / Xie, Jingwen (Autor:in)


    Erscheinungsdatum :

    2015


    Format / Umfang :

    12 Seiten





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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