To achieve the high accuracy of attitude determination for three-axis stabilized geostationary meteorological satellite image navigation, a new approach combined gyro with star trackers is proposed, and a real-time algorithm for attitude estimation is designed. This algorithm begins with a prediction for angular rate model errors induced by gyro drifting error, and ends with the extended Kalman filtering (EKF) for attitude estimation of three-axis. A Matlab-based time domain simulation model is developed to evaluate the attitude determination performance. Simulation results demonstrate that the proposed algorithm has characteristics of high accuracy, rapid convergence and strong robustness.


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    Titel :

    Attitude determination for three-axis stabilized geostationary meteorological satellite image navigation


    Beteiligte:
    Wu, Yaguang (Autor:in) / Wang, Zhigang (Autor:in)

    Kongress:

    International Conference on Space Information Technology ; 2005 ; Wuhan,China


    Erschienen in:

    Erscheinungsdatum :

    2005-11-19





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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