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A Predictive Attitude Determination AlgorithmIn this paper, a new and efficient algorithm is developed for attitude determination from vector observations. The new algorithm, called the Predictive Attitude Determination (PAD) algorithm, is derived from a general nonlinear predictive filter approach. Traditional deterministic algorithms are shown to be suboptimal for anisotropic measurement errors. The major advantage of the PAD algorithm is that it can be easily applied to the case where anisotropic measurement errors exist. Also, an analytical expression is derived for the steady-state attitude error covariance, which is shown to be equivalent to the optimal covariance derived from maximum likelihood techniques. Simulation studies indicate that the new algorithm is able to accurately determine the attitude of a spacecraft, even for radically anisotropic measurement errors.
Document ID
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Markley, F. Landis
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Crassidis, John L.
(Catholic Univ. of America Washington, DC United States)
Date Acquired
September 8, 2013
Publication Date
May 1, 1997
Publication Information
Publication: Flight Mechanics Symposium 1997
Subject Category
Accession Number
Distribution Limits
Work of the US Gov. Public Use Permitted.
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