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Metal Mine ›› 2017, Vol. 46 ›› Issue (10): 33-35.

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Interpolation Model of GPS Tropospheric Delay Based on RBF Neural Network

Ma Jianwu1,Tao Tingye1,Yi Weisong2   

  1. 1.School of Civil and Hydraulic Engineering,Hefei University of Technology,Hefei 230009,China;2.Anhui Jiyuan Software Co.Ltd.,Hefei 230008,China
  • Online:2017-10-15 Published:2017-10-15

Abstract: In order to improve the accuracy of tropospheric delay interpolation,a model of delay tropospheric delay interpolation based on RBF neural network is established.Taking the coordinates and tropospheric delay of ten CORS base stations in Anhui Province as the modeling data,among them,the coordinates and tropospheric delay of the six CORS stations are taken as the modeling data,the coordinates and tropospheric delay of the other four CORS stations are used as test data to verify the reliability of the model.The experimental results show that the tropospheric interpolation accuracy of the test data reaches the millimeter level.

Key words: RBF neural net work, Tropospheric delay, Data interpolation