大地测量与地球动力学2012,Vol.32Issue(2):44-46,3.
利用RBF神经网络对GPS广播星历插值
INTERPOLATION TECHNIQUE BASED ON RBF NEURAL NETWORK OF GPS BROADCAST EPHEMERIS
摘要
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 poly-nomial 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 sat-ellite coordinate calculated by direct computation method show that RBF neural network interpolation method can a-void the RP, improve the interpolation stability and accuracy as well meet the demands for GPS point positioning.关键词
GPS单点定位/广播星历/径向基函数神经网络/插值/Runge现象Key words
GPS point positioning/ broadcast ephemeris/ RBF (Radial Basis Function) neural network/ interpola-tion /Runge Phenomenon( RP)分类
天文与地球科学引用本文复制引用
陶庭叶,高飞,刘文星,张春喜..利用RBF神经网络对GPS广播星历插值[J].大地测量与地球动力学,2012,32(2):44-46,3.基金项目
国土环境与灾害监测国家测绘局重点实验室开放基金(LEDM2010B08) (LEDM2010B08)
合肥工业大学博士专项基金(2010HGBZ0564) (2010HGBZ0564)
合肥工业大学大学生创新性实验计划项目(cxsy102196) (cxsy102196)