A reconfigurable unscented Kalman filter (UKF)-based estimation algorithm for magnetometer biases and scale factors is proposed as a part of the attitude estimation scheme of a pico satellite. Unlike existing algorithms, in this paper, scale factors are not treated, together with other parameters, as part of the state vector; they are estimated separately. After satisfying the conditions of the proposed stopping rule for bias estimation, UKF reconfigures itself for estimation of attitude parameters alone.


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    Title :

    UKF-Based Reconfigurable Attitude Parameters Estimation and Magnetometer Calibration


    Contributors:
    Soken, H. E. (author) / Hajiyev, C. (author)


    Publication date :

    2012-07-01


    Size :

    3032469 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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