基于EMD滤波的算法对形变观测数据中常见的高频干扰进行去除。结果表明：该滤波方法充分保留了信号本身的非线性和非平稳特征，在剔除形变观测数据中的高频干扰方面有很好的效果；通过对固体潮观测数据进行经验模态分解，可以分离出固体潮半日波和周日波，分解的剩余分量可准确地表征原始观测数据的长趋势变化。

The method of empirical mode decomposition(EMD)and the filter algorithm based on EMD are introduced in this paper.We eliminate high frequency interference of deformation observations with this filter based on EMD,the results indicate this filter approach fully retain the nonlinear and non-stationary characteristics of the signal itself, and has very good effect in aspect of eliminating high frequency interference in deformation observation data.The empirical mode decomposition method is applied to data processing of earth tide observations, semi-diurnal wave and diurnal of earth tide can be extracted and the residual component accurately characterizes the underlying long-term trend of the original observational data.