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%。"/>
Principal Component Spatial Filtering Analysis on Continuous GPS Network in Taiwan
Abstract 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.
