计量学报2016，Vol.37Issue(3)：318-322,5.DOI:10.3969/j.issn.1000-1158.2016.03.20
基于相空间重构与高斯过程的卫星钟差预报
A Novel Method for Satellite CloCk Bias PrediCtion Based on Phase SpaCe ReConstruCtion and Gaussian ProCesses
雷雨 1蔡宏兵 2赵丹宁3
作者信息
- 1. 中国科学院国家授时中心，陕西 西安 710600
- 2. 中国科学院时间频率基准重点实验室，陕西 西安 710600
- 3. 中国科学院大学，北京 100049
- 折叠
摘要
Abstract
A novel method for satellite clock bias prediction incorporating phase space reconstruction and Gaussian processes(GP)is proposed. Firstly a polynomial model is employed to fit the time-series of clock bias in terms of its characteristics,and then the noise of the polynomial fitting residuals is reduced by the empirical mode decomposition (EMD)algorithm. Secondly,phase space reconstruction is performed for the de-noised residuas according to its chaotic characteristics. Finally,Gaussian processes are established so as to forecast the residuals on the basis of reconstructed phase space,and then the predicted clock bias can be yielded by adding the trend term to the forecasted residuals. The IGS ultra-rapid observed(IGU-O)product is used to set up a clock model,and short-term prediction experiments are carried out. The results show that the proposed method outperforms the IGS ultra-rapid predicted(IGU-P)solutions at least on a daily basis.关键词
计量学/卫星钟差预报/高斯过程/相空间重构/经验模态分解Key words
metrology/satellite clock bias prediction/Gaussian process/phase space reconstruction/empirical mode decomposition分类
通用工业技术引用本文复制引用
雷雨,蔡宏兵,赵丹宁..基于相空间重构与高斯过程的卫星钟差预报[J].计量学报,2016,37(3):318-322,5.
