中国境内IGS站共性误差提取方法比较

Comparison of Common Mode Errors Extraction Methods For IGS Stations in China

共性误差是连续运行观测站存在的一种时空间相关的误差,剔除GPS站点时间序列中的共性误差,对于提高站点坐标时间序列的精度及形变分析具有重要作用。目前,已提出的提取共性误差的方法主要有主成分分析法(PCA)和离散霍特林展开(KLE)两种。本文针对国内主要IGS站,利用GAMIT10.6解算IGS站观测数据获得坐标时间序列,并采用时间序列误差建模的方式分析周期项所含部分,进而获得残差序列。在残差序列基础上,采用不同方法提取共性误差,分析其共性误差对时间序列精度的影响,讨论各方法的优劣情况,得出提取共性误差的最优方法。

Whether removing common mode error of the time series is important for the extraction of crustal deformation.There are two ways to extract common modeerrors include Principal Component Analysis and Karhunen--Loeve expansion.The influence of common mode errors on the accuracy of time series in different IGS extraction methods is compared.On the basis of residual sequence,different methods are used to extract common errors,and the influence of common errors on the precision of time series is analyzed.The advantages and disadvantages of each method are discussed,and the optimal method for extracting common errors is obtained.