This paper investigates X-ray pulsar navigation for earth-moon libration-point mission. A comprehensive analysis shows that abnormal measurements are inevitable and bring quite adverse effects for navigation results. To approach this problem, a new algorithm called robust square-root cubature Kalman filter is proposed. An innovation-based adaptive scale factor is introduced to adjust measurement noise covariance so that the adverse effects of abnormal measurements can be suppressed. Effectiveness of the proposed method is demonstrated in simulation results.


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    Title :

    Adaptive Navigation Algorithm Under Abnormal Measurements in Libration-Point Mission


    Contributors:
    Yang Zhou (author) / Panlong Wu (author) / Xingxiu Li (author)


    Publication date :

    2018-02-01


    Size :

    1061550 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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