This paper discusses the Kalman filter used in the navigation software of the Space Shuttle. The form of the filter will be discussed: the standard Kalman filter versus the square-root version of this filter. Both of these filters have severe nonlinearity problems. Two successful solutions of the nonlinearity problem are presented. A real-time program must have a good method of editing bad data. The data editing scheme is discussed. Those elements of the Kalman filter state vector which are random variables will be discussed.


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    Title :

    Onboard navigation of the Space Shuttle


    Contributors:
    Lear, W. M. (author)

    Conference:

    International Symposium on Space Technology and Science ; 1975 ; Tokyo, Japan


    Publication date :

    1975-01-01


    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English





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