A numerically well-behaved factorized methodology is developed for estimating spacecraft sensor alignments from prelaunch and inflight data without the need to compute the spacecraft attitude or angular velocity. Such a methodology permits the estimation of sensor alignments (or other biases) in a framework free of unknown dynamical variables. In actual mission implementation such an algorithm is usually better behaved than one that must compute sensor alignments simultaneously with the spacecraft attitude, for example by means of a Kalman filter. In particular, such a methodology is less sensitive to data dropouts of long duration, and the derived measurement used in the attitude-independent algorithm usually makes data checking and editing of outliers much simpler than would be the case in the filter.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Spacecraft alignment estimation


    Contributors:

    Conference:

    IEEE Conference on Decision and Control ; 1988 ; Austin, TX, United States


    Publication date :

    1988-01-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




    Spacecraft alignment estimation

    Bierman, G.J. / Shuster, M.D. | Tema Archive | 1988


    Spacecraft Actuator Alignment Estimation

    Fosbury, A. / Nebelecky, C. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2009


    Spacecraft Actuator Alignment Estimation

    Fosbury, Adam / Nebelecky, Chris | AIAA | 2009


    Batch and filter approaches to spacecraft sensor alignment estimation

    Zanardi, M. C. / Shuster, M. D. | British Library Online Contents | 1997


    Batch and filter approaches to spacecraft sensor alignment estimation

    Zanardi, M. C. / Shuster, M. D. / European Space Agency | British Library Conference Proceedings | 1997