›› 2013, Vol. 33 ›› Issue (4): 71-75.

• 技术交流 •

一种高精度GPS卫星钟差预报方法

1. （1 合肥工业大学土木与水利工程学院，合肥 230009）（2 武汉大学卫星导航定位技术中心，武汉 430079）（3 安徽省北斗卫星导航重点实验室，合肥230088）
• 收稿日期:2012-09-24 修回日期:2012-12-02 出版日期:2013-08-25 发布日期:2013-08-25
• 作者简介:陶庭叶 1980年生，2010年获武汉大学大地测量学与测量工程专业博士学位，副教授，博士后。主要从事GPS高精度定位、变形监测方面的教学科研工作。
• 基金资助:

国土环境与灾害监测国家测绘局重点实验室开放基金(LEDM2010B08)，合肥工业大学博士专项基金(2010HGBZ0564)，精密工程与工业测量国家测绘地理信息局重点实验室开放基金（PF2012-2）资助项目

One Prediction Method for High-precision GPS Satellite Clock Error

TAO Ting-Ye1,2,3, GAO Fei1, LI Xiao-Li1

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)
• Received:2012-09-24 Revised:2012-12-02 Online:2013-08-25 Published:2013-08-25

Abstract: In order to get clock products with high accuracy in real time, the rapid clock products were used to establish a short-term prediction model. First, the data batch was detrended by fitting and removing with polynomial. Then, the spectrum of residual after detrending was calculated with Fourier transformation. Thus, the modeling period and forecasting period can be confirmed with the periodic characteristics. After this, the RBF (Radial Basis Function) neural network was used to fit and forecast the clock errors. Since the RBF neural network was fit for nonlinear data modeling, this method can get better forecasting results after extracting linear trend and determining reasonable modeling data size. In fact, prediction results indicate that clock error products obtained by the proposed method are shown to have higher accuracy than the ultra-rapid products, and can satisfy decimeter accuracy positioning applications.