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.
Onboard navigation of the Space Shuttle
International Symposium on Space Technology and Science ; 1975 ; Tokyo, Japan
1975-01-01
Miscellaneous
No indication
English
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