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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    Title :

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


    Contributors:
    Xu, Guangde (author) / Gou, Zhongqiu (author) / Zhang, Bainan (author)


    Publication date :

    2017-07-27


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English