The problem of SINS / SNS integration based on the loosely coupled integration scheme using the extended Kalman filter (EKF) is considered. Full stochastic models of measurements of inertial sensors based on MEMS technology are used. The EKF performance is confirmed by computational experiments using real measurements of SINS based on MEMS technology. The results of estimating the drifts of inertial sensors and the accuracy of coordinates determination in the condition of SNS signal dropout for different time intervals of SNS out-of-service state are presented.


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    Title :

    SINS/SNS integration based on a loosely coupled integration scheme using an extended Kalman filter



    Conference:

    XLIII ACADEMIC SPACE CONFERENCE: dedicated to the memory of academician S.P. Korolev and other outstanding Russian scientists – Pioneers of space exploration ; 2019 ; Moscow, Russia


    Published in:

    Publication date :

    2019-11-15


    Size :

    7 pages





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English