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《Engineering of Surveying and Mapping》 2009-04
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Regional ionospheric delay model based on neural network and its application in single frequency precise point positioning

XU Cheng-quan1,HUA Xiang-hong2,3,FAN Qian2,3,XIA Chuan-yi4,YANG Rong-hua1(1.Department of Geography,Minjiang University,Fuzhou 350108,China;2.School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China;3.Research Center for Hazard Monitoring and Prevention,Wuhan University,Wuhan 430079,China;4.Wuhan Geotechnical Engineering and Surveying Institude,Wuhan 430022,China)  
An improved neural network has been developed for estimating the total electron content(TEC) of the ionosphere using observations collected by a GPS network of double frequency GPS receivers.And a single frequency precise point positioning(PPP) software MPEPPP has been developed using neural network to mitigate the ionospheric delay.Numerical result shows that the external accordant accuracy of the regional ionospheric delay model using neural network is better than 0.03 meters when the distances of base stations are between 50 and 100 km,and the single frequency PPP using the proposed model can achieve an accuracy of centimeter level.
【Fund】: 国家自然科学基金资助项目(40474003)
【CateGory Index】: P228.4
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