基于新陈代谢灰色模型的实时GPS卫星钟差预报研究

Based on the Grey Metabolism Model of Real-time GPS Satellite Clock Difference Prediction Research

实时GPS卫星钟差的可靠性预报是GPS实现实时精密单点定位的关键技术之一。传统的GM(1,1)模型不能及时更新新息数据,致使计算结果精度较差。本文首先介绍了常用的几个钟差模型,并利用新陈代谢GM(1,1)模型,与常用的二次多项式模型进行了对比。通过自编程序,依据某一IGS跟踪站实测的精密卫星星历数据,进行了实时的GPS卫星钟差预报,并与IGS事后精密钟差进行了比较。实验结果表明,基于该新陈代谢GM(1,1)模型估计的卫星钟差与IGS发布的最终精密钟差具有较好的有效性和一致性,这为实时GPS动态精密单点定位提供较高精度的卫星钟差产品。

Reliability prediction of real-time GPS satellite clock error is real-time GPS precise point positioning of one of the key technologies.The traditional GM(1,1)model can't update the new rate data,which has poor precision.Using metabolism GM(1,1)model,this paper compared with quadratic polynomial model in common use.Through self-programming,according to a certain IGS tracking station measured precision of satellite ephemeris data,to carry on the real-time GPS satellite clock difference prediction,and are compared with those of the IGS precision clock difference afterwards.Experimental results show that based on the metabolism of GM(1,1)model to estimate the satellite clock error and eventually released IGS precision clock difference has good validity and consistency,which provides real-time dynamic GPS precise point positioning higher accuracy of satellite clock error products.