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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| Veröffentlicht in: | Measurement techniques 2019-06, Vol.62 (3), p.233-241 |
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| creator | Sokolov, S. V. Pogorelov, V. A. |
| description | 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. |
| doi_str_mv | 10.1007/s11018-019-01610-4 |
| format | Article |
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| 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 |
| title | Nonlinear Dynamic Estimation of the Orientation Angles of a Moving Object from Distributed Satellite Measurements |
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