PCA方法在GPS坐标时间序列分析中的应用

Using PCA Analysis of GPS Coordinate Time Series

以安徽及邻区8个GPS连续站点的观测数据为基础,应用主成分分析法提取其共模误差,并对扣除共模误差前后的残余时间序列进行了对比分析。结果显示,扣除共模误差后的残余时间序列的周期性变化较为明显,数据信噪比有所提高。

Based on observational data of 8 continuous GPS site in Anhui and adjacent areas,this paper used principal component analysis method to extract the common mode errors,and deducted the residual time series of common mode error before and after a comparative analysis.The results show that the cyclical changes of the residual time series after deduction of the common mode errors are more obvious.And the data signal to noise ratio is improved.