Adaptive filtration algorithm for space object movement parameters in a geostation orbit

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An adaptive algorithm is developed for filtering the motion parameters of a space object in a geostationary orbit, combining ease of implementation and high accuracy of estimates.

Algorithm, dynamic filtering, covariance, kalman filter, modeling

Короткий адрес: https://sciup.org/148309564

IDR: 148309564   |   DOI: 10.25586/RNU.V9187.20.02.P.042

Статья научная