Magnetic field vector is a function of the satellite's position. Autonomous LEO satellite navigating can be achieved based on the measurement data of the onboard three-axis magnetometer (TAM). For the orbit estimation based on the measurement of the geomagnetic field vector, when measurement data influenced by outliers, filtering advents deviation, convergence becomes slow and even divergent. Based on the residual orthogonal of EKF (expanding Kalman filter), fault tolerant filtering method is given. The instant modifying and fault diagnosis are implemented and the filter obtains stronger robustness. Simulation results show the effectiveness of the method.


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    Title :

    A fault tolerant filter applied on magnetometer-based autonomous satellite navigation


    Contributors:
    Siyuan Rong, (author) / Rongjun Mu, (author) / Naigang Cui, (author)


    Publication date :

    2006-01-01


    Size :

    1050792 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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