Nonlinear Dynamic Estimation of the Orientation Angles of a Moving Object from Distributed Satellite Measurements
- Авторы: Sokolov S.1, Pogorelov V.2
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Учреждения:
- Rostov State University of Economics
- Rostov-on-Don Research Institute of Radio
- Выпуск: Том 62, № 3 (2019)
- Страницы: 233-241
- Раздел: Measurements in Information Technologies
- URL: https://journals.rcsi.science/0543-1972/article/view/246694
- DOI: https://doi.org/10.1007/s11018-019-01610-4
- ID: 246694
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Аннотация
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.
Об авторах
S. Sokolov
Rostov State University of Economics
Автор, ответственный за переписку.
Email: s.v.s.888@yandex.ru
Россия, Rostov
V. Pogorelov
Rostov-on-Don Research Institute of Radio
Email: s.v.s.888@yandex.ru
Россия, Rostov-on-Don