电邮这篇文章 Model of a neural network inertial satellite navigation system capable of estimating the earth’s gravitational field gradient
- 作者: Devyatisil’nyi A.S.1,2
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隶属关系:
- Institute for Automation and Control Processes, Far-Eastern Branch
- Far-Eastern Federal University
- 期: 卷 61, 编号 9 (2016)
- 页面: 1299-1302
- 栏目: Theoretical and Mathematical Physics
- URL: https://bakhtiniada.ru/1063-7842/article/view/197939
- DOI: https://doi.org/10.1134/S1063784216090048
- ID: 197939
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详细
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.
作者简介
A. Devyatisil’nyi
Institute for Automation and Control Processes, Far-Eastern Branch; Far-Eastern Federal University
编辑信件的主要联系方式.
Email: devyatis@iacp.dvo.ru
俄罗斯联邦, ul. Radio 5, Vladivostok, 600041; ul. Palchevskogo 17, Vladivostok, 690059
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