针对矿区开采沉降GPS变形监测坐标序列中存在的共模误差,利用PCA主成分分析方法,将高频单历元解算中的测站之间相关性误差提取并消除。利用Welch频谱法分析PCA空间滤波消除共模误差的周期频率特性。最后,处理某矿区实时GPS变形监测网中的观测沉降数据,验证了PCA空间滤波方法在去除共模误差的可行性,提高了矿区开采沉降GPS观测精度。 Aiming at the common-mode errors existing in GPS deformation monitoring coordinate sequence of mining subsidence, PCA principal component analysis method is used to extract and eliminate the correlation errors between stations in high-frequency single-epoch solving. Analysis of Periodic Frequency Characteristics of Common Mode Error Eliminated by PCA Spatial Filter Using Welch Spectrum Method. Finally, the observed settlement data in a real-time GPS deformation monitoring network of a mining area is verified, and the feasibility of removing the common-mode error by the PCA spatial filtering method is verified, and the GPS observation accuracy of mining settlement is improved.