DocumentCode :
826294
Title :
Application of Kalman filtering to spacecraft range residual prediction
Author :
Madrid, G.A. ; Bierman, G.J.
Author_Institution :
California Institute of Technology, Pasadena, CA, USA
Volume :
23
Issue :
3
fYear :
1978
fDate :
6/1/1978 12:00:00 AM
Firstpage :
430
Lastpage :
433
Abstract :
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, a 
covariance factored Kalman filter, is demonstrated by processing a four month record of Viking spacecraft data taken enroute to Mars.
covariance factored Kalman filter, is demonstrated by processing a four month record of Viking spacecraft data taken enroute to Mars.Keywords :
Kalman filtering; Prediction methods; Radio distance measurement; Space vehicle tracking; Delay effects; Earth; Extraterrestrial measurements; Filtering; Frequency estimation; Frequency measurement; Kalman filters; Mars; Modulation coding; Space vehicles;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1978.1101738
Filename :
1101738
Link To Document :
