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Relative performance of algorithms for autonomous satellite orbit determinationLimited word size in contemporary microprocessors causes numerical problems in autonomous satellite navigation applications. Numerical error introduced in navigation computations performed on small wordlength machines can cause divergence of sequential estimation algorithms. To insure filter reliability, square root algorithms have been adopted in many applications. The optimal navigation algorithm requires a careful match of the estimation algorithm, dynamic model, and numerical integrator. In this investigation, the relationship of several square root filters and numerical integration methods is evaluated to determine their relative performance for satellite navigation applications. The numerical simulations are conducted using the Phase I GPS constellation to determine the orbit of a LANDSAT-D type satellite. The primary comparison is based on computation time and relative estimation accuracy.
Document ID
19810045391
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Tapley, B. D.
(Texas Univ. Austin, TX, United States)
Peters, J. G.
(Texas Univ. Austin, TX, United States)
Schutz, B. E.
(Texas, University Austin, Tex., United States)
Date Acquired
August 11, 2013
Publication Date
March 1, 1981
Publication Information
Publication: Journal of the Astronautical Sciences
Volume: 29
Subject Category
Space Communications, Spacecraft Communications, Command And Tracking
Accession Number
81A29795
Funding Number(s)
CONTRACT_GRANT: NSG-5154
Distribution Limits
Public
Copyright
Other

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