Acta Geodaetica et Cartographica Sinica ›› 2014, Vol. 43 ›› Issue (8): 803-807.

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

  

  • Received:2014-01-06 Revised:2014-05-12 Online:2014-08-20 Published:2014-08-27

Abstract:

For satellite atomic clocks can be easily influenced by various factors in space, the clock behaviour are not sufficiently described and 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 to the continuous prediction of many GPS satellite clock bais with five minutes, one hour and one day in this paper, the root mean square error was better than 0.4ns, 0.5ns and 1ns, respectively, these prove the reliability of the radial basis network structure on the clock error forecasting in this paper.

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