A New Procedure for Strapdown Attitude Algorithms Optimization as Applied to Stochastic Motion Input

Valery Z.Gusinsky, Vladimir M.Lesyuchevsky, Yury A.Litmanovich, Howard Musoff and George T.Schmidt

Abstract:	A new procedure for deriving strapdown attitude algorithms, earlier suggested by the authors, is examined for the more general cases of motion inputs: the regula,r precession and the stochastic angular motion. It is shown analytically with a new procedure that the coefficients optimized for classical coning hold true for the motions under consideration a.s well. The contribution of the third t,erm in rotation vector differentia,l equation which is conventionally discarded is st,udiecl and the condition of the need for its inclusion is stated to make the algorithm optimal. The simulat,iou results of the nontruncated algorithm wit,h the opt.imized coefficients are present,ecl and discussed.
Published in:	Proceedings of the 52nd Annual Meeting of The Institute of Navigation (1996) June 19 - 21, 1996 Royal Sonesta Hotel Cambridge, MA
Pages:	787 - 795
Cite this article:	Z.Gusinsky, Valery, M.Lesyuchevsky, Vladimir, A.Litmanovich, Yury, Musoff, Howard, T.Schmidt, George, "A New Procedure for Strapdown Attitude Algorithms Optimization as Applied to Stochastic Motion Input," Proceedings of the 52nd Annual Meeting of The Institute of Navigation (1996), Cambridge, MA, June 1996, pp. 787-795.
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