Abstract In this paper, a novel filtering algorithm for the orbit determination of non-cooperative target is proposed to cope with the simplified dynamic model error problem. The algorithm is based on the nonlinear predictive filter (NPF) and the square root cubature Kalman (SCKF) filter, called adaptive square root cubature filter ASRCKF). In the filtering process, NPF is used to modify the orbit dynamic model and SRCKF takes the revised model for state estimation. The simulation results validate the proposed algorithm has higher tracking precision, stronger robustness and stability than traditional filter.


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    Titel :

    An Improved Adaptive SRCKF Algorithm for Non-cooperative Target Orbit Determination


    Beteiligte:
    Xu, Guangde (Autor:in) / Gou, Zhongqiu (Autor:in) / Zhang, Bainan (Autor:in)


    Erscheinungsdatum :

    27.07.2017


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch