摘要
为解决近实时GPS精密单点定位中精密钟差改正问题.在分析现有卫星钟差预报模型的优缺点基础上,将GM(1,1)循环模型拓展进行卫星钟差预报,并提出了一种改进的GM(1,1)-AR(p)钟差预报模型,利用IGS数据中心提供的5分钟标准数据进行短期预报,分析所提改进方法能达到的精度.研究结果表明:改进的卫星钟差预报方法能有效提高钟差预报精度,是可行的.
In order to correct the satellite clock bias used in near-real-time Precise Point Positioning,the GM(1,1)cycle model has been expanded for predicting satellite clock bias with the help of analyzing the advantages and disadvantages of the existing method for predicting satellite clock bias,and an improved method of prediction of precise satellite clock bias--GM(1,1) cycle-AR(p) model is presented in this paper.The 5 minutes interval standard clock bias data supplied by IGS data center is used for short-term satellite clock bias prediction,and the prediction precision of improved prediction model is analyzed.The results show that the new improved satellite clock bias prediction model can attain high prediction precision and this prediction model is feasible.
出处
《辽宁工程技术大学学报(自然科学版)》
CAS
北大核心
2013年第9期1265-1268,共4页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金资助项目(41074001)
山东省高校科技计划资助项目(J09LE09)
关键词
精密单点定位
GM(1
1)模型
改进算法
GM(1
1)循环-AR(p)
钟差改正
钟差预报
趋势项
随机项
precise point positioning
GM(1,1)model
improved algorithm
GM(1,1) cycle-AR(p)model
satellite clock bias correction
satellite clock bias prediction
trend item
stochastic item