INTERPOLATION TECHNIQUE BASED ON RBF NEURALNETWORK OF GPS BROADCAST EPHEMERIS
Tao Tingye 1,2,3) ; Gao Fei 1) ; Liu Wenxing 1) ; and Zhang Chunxi 1)
1)School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei 230009;2)GNSS Research Center，Wuhan University，Wuhan 430079;3)Beidou Key Laboratory of Anhui Province, Hefei 230088
Abstract Using the RBF(Radial Basis Function) neural network to interpolate the GPS satellite coordinate computed by broadcast ephemeris was proposed in order to solve the problem of Runge Phenomenon(RP) in polynomial interpolation. The GPS satellite coordinate calculated by GPS broadcast ephemeris in 25th, July 2011 were selected to test the RBF neural network interpolation method. The interpolation results compared with the GPS satellite coordinate calculated by direct computation method show that RBF neural network interpolation method can avoid the RP, improve the interpolation stability and accuracy as well meet the demands for GPS point positioning.
Key words ：
GPS point positioning
broadcast ephemeris
RBF(Radial Basis Function) neural network
interpolation
Runge Phenomenon(RP)
Received: 01 January 1900
Corresponding Authors:
Tao Tingye
Cite this article:
Tao Tingye,Gao Fei ,Liu Wenxing et al. INTERPOLATION TECHNIQUE BASED ON RBF NEURALNETWORK OF GPS BROADCAST EPHEMERIS[J]. , 2012, 32(2): 44-46.
Tao Tingye,Gao Fei ,Liu Wenxing et al. INTERPOLATION TECHNIQUE BASED ON RBF NEURALNETWORK OF GPS BROADCAST EPHEMERIS[J]. jgg, 2012, 32(2): 44-46.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2012/V32/I2/44
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