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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    Titel :

    Onboard navigation of the Space Shuttle


    Beteiligte:
    Lear, W. M. (Autor:in)

    Kongress:

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


    Erscheinungsdatum :

    01.01.1975


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch





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