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Preprints of the Keldysh Institute of Applied Mathematics, 2015, 054, 32 pp.
(Mi ipmp2016)
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Falling point estimation of a body in Earth gravitational field by using measurements of several motion parameters
D. S. Ivanov, Ya. V. Mashtakov, M. Yu. Ovchinnikov, A. A. Reshetnikov, D. S. Roldugin, A. I. Stuchilin, S. S. Tkachev
Abstract:
An algorithm of falling point determination of a body in the Earth gravitational field is developed. Algorithm uses radar measurements: radial distance, radial velocity, elevation and azimuth angles. A technique for falling point error estimation is proposed. It allows to depict a scatter ellipsoid on the Earth surface. The algorithm based on augmented Kalman filter which calculates full state vector estimation using motion equations and measurements model.
Keywords:
motion determination, Kalman filter, radar.
Citation:
D. S. Ivanov, Ya. V. Mashtakov, M. Yu. Ovchinnikov, A. A. Reshetnikov, D. S. Roldugin, A. I. Stuchilin, S. S. Tkachev, “Falling point estimation of a body in Earth gravitational field by using measurements of several motion parameters”, Keldysh Institute preprints, 2015, 054, 32 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp2016 https://www.mathnet.ru/eng/ipmp/y2015/p54
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Statistics & downloads: |
Abstract page: | 235 | Full-text PDF : | 113 | References: | 53 |
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