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Zhurnal Tekhnicheskoi Fiziki, 2016, Volume 86, Issue 9, Pages 20–23 (Mi jtf6439)  
Theoretical and Mathematical Physics

Model of a neural network inertial satellite navigation system capable of estimating the earth’s gravitational field gradient

A. S. Devyatisil'nyiab

a Institute for Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok
b Far Eastern Federal University, Vladivostok
Full-text PDF (94 kB)
Abstract: A model for recognizing inertial and satellite data on an object’s motion that are delivered by a set of distributed onboard sensors (newtonmeters, gyros, satellite receivers) has been described. Specifically, the model is capable of estimating the parameters of the gravitational field.
Received: 11.01.2016
English version:
Technical Physics, 2016, Volume 61, Issue 9, Pages 1299–1302
DOI: https://doi.org/10.1134/S1063784216090048
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. S. Devyatisil'nyi, “Model of a neural network inertial satellite navigation system capable of estimating the earth’s gravitational field gradient”, Zhurnal Tekhnicheskoi Fiziki, 86:9 (2016), 20–23; Tech. Phys., 61:9 (2016), 1299–1302
Citation in format AMSBIB
\Bibitem{Dev16}
\by A.~S.~Devyatisil'nyi
\paper Model of a neural network inertial satellite navigation system capable of estimating the earth’s gravitational field gradient
\jour Zhurnal Tekhnicheskoi Fiziki
\yr 2016
\vol 86
\issue 9
\pages 20--23
\mathnet{http://mi.mathnet.ru/jtf6439}
\elib{https://elibrary.ru/item.asp?id=27368501}
\transl
\jour Tech. Phys.
\yr 2016
\vol 61
\issue 9
\pages 1299--1302
\crossref{https://doi.org/10.1134/S1063784216090048}
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