台湾连续GPS网主成分空间滤波分析  

Principal Component Spatial Filtering Analysis on Continuous GPS Network in Taiwan

作　　者：卿龙 袁林果 郝景恺 李炳 姜中山 QING Long;YUAN Linguo;HAO Jingkai;LI Bing;JIANG Zhongshan(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,111 North-Erhuan Road,First Section,Chengdu 611756,China)

机构地区：[1]西南交通大学地球科学与环境工程学院,成都市611756

出　　处：《大地测量与地球动力学》2020年第8期838-842,共5页Journal of Geodesy and Geodynamics

基　　金：国家自然科学基金(41374002);四川省科技项目(2015JQ0046)。

摘　　要：采用PCA方法提取台湾GPS区域网共模误差,进行空间滤波。结果表明,第1主成分在空间上表现出强烈的一致性,第2~5主成分在空间上呈现出局部响应的特点;滤波后残差时间序列的均方根(RMS)在N、E、U方向平均分别降低33%、31%、19%;滤波效果在水平方向好于垂直方向,东、西部存在明显的差异,这可能与台湾地区地形有关;幂律噪声振幅在N、E、U方向平均分别下降36%、43%、23%。We apply PCA method on Taiwan GPS coordinate time series to extract the CME and perform spatial filtering.The results show that the first principal component exhibits strong consistency in space while the second to fifth principal components exhibit local response characteristics.The average reduction rates of RMS in the N,E and U directions of the residual time series after filtering are 33%,31%and 19%,respectively.The result of filtering in a horizontal direction is better than in a vertical direction,and there is a difference in the filtering effect between the eastern and western parts of Taiwan,which may be related to the terrain.Meanwhile,the amplitude of power law noise decreases by 36%,43%and 23%in N,E and U direction,respectively.

关 键 词：GPS 共模误差 PCA 台湾 

分 类 号：P228[天文地球—大地测量学与测量工程]