一种组合EEMD与PCA的GPS台站噪声消除方法  

A GPS Station Noise Elimination Method Combining EEMD and PCA

作　　者：赖慧斌 LAI Huibin(School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉大学测绘学院,湖北武汉430079

出　　处：《测绘地理信息》2022年第3期20-22,共3页Journal of Geomatics

基　　金：国家自然科学基金(41871373)。

摘　　要：针对由精密单点定位技术解算GPS台站观测数据得到的坐标时间序列中存在接收机观测噪声、共模误差、对流层延迟等误差的问题,提出一种联合集合经验模态分解(ensemble empirical mode decomposition,EEMD)与主成分分析(principal component analysis,PCA)的方法,对序列进行空间滤波处理,以消除GPS台站噪声。对中国香港9个GPS台站一天的数据进行实验分析,结果表明,所提方法可以较好地消除原始序列中的误差,坐标定位精度有明显提高。Due to the errors of receiver observation noise,common mode error and tropospheric delay in the coordinate time series obtained by solving the GPS station observation data by precise point positioning technology,we propose a method combining ensemble empirical mode decomposition(EEMD) and principal component analysis(PCA) to perform spatial filtering on the time series to eliminate GPS station noise. Experiments are performed to analyze the data of nine GPS stations in Hong Kong,China. The results show that the errors in the original time series can be eliminated by the proposed method and the accuracy of coordinate positioning is improved obviously.

关 键 词：精密单点定位 集合经验模态分解(ensemble empirical mode decomposition EEMD) 共模误差 主成分分析(principal component analysis PCA) 

分 类 号：P228[天文地球—大地测量学与测量工程]