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Browse Journals & Magazines > Automatic Control, IEEE Trans ...> Volume:23 Issue:3 Help

Application of Kalman filtering to spacecraft range residual prediction

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2 Author(s)
Madrid, G. ; California Institute of Technology, Pasadena, CA, USA ; Bierman, G.J.

One function of the Deep Space Network is validation of the range data that they receive. In this short paper we present an automated online sequential range predictor which shows promise of significantly reducing computational and manpower expenditures. The proposed algorithm, aU-Dcovariance factored Kalman filter, is demonstrated by processing a four month record of Viking spacecraft data taken enroute to Mars.

Published in:
Automatic Control, IEEE Transactions on  (Volume:23 ,  Issue: 3 )

Date of Publication: Jun 1978

Page(s):
430 - 433
ISSN :
0018-9286
Digital Object Identifier :
10.1109/TAC.1978.1101738
Date of Current Version :
06 January 2003
Issue Date :
Jun 1978
Sponsored by :
IEEE Control Systems Society

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