
FULL TEXT IN RUSSIAN
Mekhatronika, Avtomatizatsiya, Upravlenie, 2017, vol. 18, no. 11, pp. 782—787
DOI: 10.17587/mau.18.782787
Analytical Design and Numerical Research of Motion Detection Models Based on GLONASS Data
A. S. Devyatisilny^{1,2}, devyatis@iacp.dvo.rus, A. V. Shurygin^{1,2}, ashurygin@iacp.dvo.ru,
A. K. Stotsenko^{2}, stotsenko@iacp.dvo.ru,
^{1}Far Eastern Federal University, Vladivostok, 690090, Russian Federation,
^{2}Institute of Automation and Control Processes, Far Eastern Branch of RAS, Vladivostok, 690041, Russian Federation

Corresponding author: Devyatisilny Aleksandr S., Ph. D., Professor, Head of the Navigation and Control Department, Institute of Automation and Control Processes Far eastern Branch of RAS, Vladivostok, 690041, Russian Federation,
email: devyatis@iacp.dvo.ru
Accepted on August 17, 2017
The article is devoted to the problem of expanding the capabilities of onboard GLONASS. In GLONASS, the implementation of various methods is possible to determine the parameters of the object's trajectory. Pseudorange method is supplemented with wellknown error compensation methodologies. In particular, a twofrequency error determination method introduced to compensate errors of radio signal passed through the ionosphere. This makes it possible to solve the problem of precise estimation of object's location coordinates very effectively. It is actual to consider the location coordinates as the initial information in the construction of onboard navigation algorithms for estimating other parameters of the trajectory, among which the most important is the velocity vector of the object relative to the Earth surface. The article presents a mathematical model of the inverse trajectory problem, the purpose of which is to evaluate object's location coordinates derivatives, described the used technology, research is carried out and procedures are proposed to improve the solvability of the problem under conditions of finite accuracy of measurements and representation of numbers in a computing environment. To solve the problem, a neurallike algorithm of the Kalman type is proposed. The results of computational experiments are also presented.
Keywords: motion, velocity, inverse trajectory problem, model, neurallike algorithm, navigation satellite system, GLONASS 
For citation:
Devyatisilny A. S., Shurygin A. V., Stotsenko A. K. Analytical Design and Numerical Research of Motion Detection Models Based on GLONASS Data, Mekhatronika, Avtomatizatsiya, Upravlenie, 2017, vol. 18, no. 11, pp. 782—787.
DOI: 10.17587/mau.18.782787
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