The application of radial basis function neural network in the GPS satellite clock bias prediction

被引:0
作者
机构
[1] State Key Laboratory of Geodesy and Earth's Dyanamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan
[2] University of Chinese Academy of Sciences, Beijing
[3] School of Geomatics, Liaoning Technical University, Fuxin
来源
Wang, Guocheng | 1600年 / SinoMaps Press卷 / 43期
关键词
Clock bias prediction; GPS satellite clock bias; Radial basis function;
D O I
10.13485/j.cnki.11-2089.2014.0078
中图分类号
学科分类号
摘要
Satellite atomic clocks can be easily influenced by various factors in space, so the clock behaviour is not sufficiently described and cannot achieved a reliable high-precision prediction by the existed model, such as a linear model, a quadratic polynomial model, grey model and so on. Radial basis function neural network was used in the continuous prediction of four GPS satellite clock bias with five minutes, one hour and one day in this paper, the root mean square error was better than 0.8 ns, 0.6 ns and 1 ns, respectively, these prove the reliability of the radial basis network structure on the clock error forecasting.
引用
收藏
页码:803 / 807and817
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