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 inMeasurement techniques Vol. 62; no. 3; pp. 233 - 241
Main Authors Sokolov, S. V., Pogorelov, V. A.
Format Journal Article
LanguageEnglish
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
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Summary: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 the dimension of the proposed estimation algorithm as compared with the existing algorithms. An example is given illustrating the effectiveness of the developed stochastic estimation algorithm.
ISSN:0543-1972
1573-8906
DOI:10.1007/s11018-019-01610-4