基于混沌加权一阶局域法的IGS超快星历钟差预报

Prediction of IGS Ultra-Rapid Ephemeris Clock Error Based on Adding-Weight One-Rank Local-Region Method of Chaos

为提高IGS超快星历钟差预报产品的精度,针对卫星钟差数据具有确定项和随机项成分的特点,在采用多项式模型对钟差确定项建模的基础上,提出采用混沌加权一阶局域法对钟差随机项进行建模预报。仿真结果表明,采用混沌加权一阶局域法的预报精度优于超快星历钟差预报产品。

In order to improve the accuracy of IGS ultra-rapid predicted products（IGU-P）,in response to the data characteristic of ultra-rapid ephemeris composed of both determined and random items,a new prediction algorithm is proposed.This proposed algorithm is based on a polynomial model,which models random items with adding-weight one-rank local-region method of chaos.The results from the calculating examples show that the accuracy of adding-weight one-rank local-region method of chaos is superior to that of the IGU-P.