Email this article Model of a neural network inertial satellite navigation system capable of estimating the earth’s gravitational field gradient
- Authors: Devyatisil’nyi A.S.1,2
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Affiliations:
- Institute for Automation and Control Processes, Far-Eastern Branch
- Far-Eastern Federal University
- Issue: Vol 61, No 9 (2016)
- Pages: 1299-1302
- Section: Theoretical and Mathematical Physics
- URL: https://journals.rcsi.science/1063-7842/article/view/197939
- DOI: https://doi.org/10.1134/S1063784216090048
- ID: 197939
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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.
About the authors
A. S. Devyatisil’nyi
Institute for Automation and Control Processes, Far-Eastern Branch; Far-Eastern Federal University
Author for correspondence.
Email: devyatis@iacp.dvo.ru
Russian Federation, ul. Radio 5, Vladivostok, 600041; ul. Palchevskogo 17, Vladivostok, 690059
