An unscented Kalman filter (UKF), which is a kind of new style filter based on unscented transform, has been used to estimate spacecraft orbit with real magnetometer. In order to simulate the measurements, this paper has established the high-accuracy dynamic model of the orbit and the 10th-order model of the geomagnetic field. Two navigation algorithms are presented respectively. Firstly, the orientation and the magnitude of the geomagnetic field are chosen as the filer's observation. Given a magnetometer with a 200nT 3-/spl sigma/ accuracy, the system can achieve 3-/spl sigma/ position accuracy on the order of 2 km, secondly, when only the magnitude is chosen, system can achieve position accuracy on the order of 2.5 km. The results also demonstrate that the UKF method has better convergence ability and higher accuracy than the extended Kalman filter (EKF) method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Autonomous satellite navigation using magnetic measurements


    Contributors:


    Publication date :

    2006-01-01


    Size :

    1355145 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Satellite autonomous navigation based on magnetic field measurements

    Shorshi, Gil / Bar-Itzhack, Itzhack Y. | AIAA | 1995



    Satellite Autonomous Navigation Based on Magnetic Field Measurements (AAS 93-255)

    Shorshi, G. / Bar-Itzhack, I. Y. / American Astronautical Society et al. | British Library Conference Proceedings | 1993


    Autonomous Satellite Navigation

    WARD EVAN M / BROWN BRYAN C / CHICKA DAVID F et al. | European Patent Office | 2023

    Free access