NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Application of Kalman filtering to spacecraft range residual predictionOne function of the Deep Space Network is validation of the range data that they receive. In this paper we present an automated online sequential range predictor which shows promise of significantly reducing computational and manpower expenditures. The proposed algorithm, a U-D covariance factored Kalman filter, is demonstrated by processing a four-month record of Viking spacecraft data taken enroute to Mars.
Document ID
19780059123
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Madrid, G. A.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Bierman, G. J.
(California Institute of Technology, Jet Propulsion Laboratory, Navigation Systems Section, Pasadena Calif., United States)
Date Acquired
August 9, 2013
Publication Date
January 1, 1977
Subject Category
Space Communications, Spacecraft Communications, Command And Tracking
Meeting Information
Meeting: Annual Pittsburgh Conference
Location: Pittsburgh, PA
Start Date: April 21, 1977
End Date: April 22, 1977
Accession Number
78A43032
Funding Number(s)
CONTRACT_GRANT: NAS7-100
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available