Nonlinear Dynamic Estimation of the Orientation Angles of a Moving Object from Distributed Satellite Measurements

We solve the problem of dynamic nonlinear stochastic estimation of moving object orientation parameters from measurements of spatially separated satellite receivers. It is shown that the use of the Euler–Krylov angles as the current parameters of object orientation provides for a sharp reduction in...

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Bibliographic Details
Published in:	Measurement techniques Vol. 62; no. 3; pp. 233 - 241
Main Authors:	Sokolov, S. V., Pogorelov, V. A.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2019 Springer Springer Nature B.V
Subjects:	Algorithms Analytical Chemistry Characterization and Evaluation of Materials Measurement Science and Instrumentation Measurements in Information Technologies Nonlinear dynamics Object motion Object oriented programming Orientation Parameter estimation Physical Chemistry Physics Physics and Astronomy nonlinear stochastic estimation spatially separated satellite measurements Euler–Krylov angles
ISSN:	0543-1972, 1573-8906
Online Access:	Get full text
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