Abstract：Aiming at the problem that dynamic monitoring data accuracy from GPS can not meet the need of deformation analysis because of the multipath and other factors,a new EMDWavelet dynamic deformation data denoising model through the combination of wavelet and EMD theory is proposed. Firstly,the model is presented to reduce noise of coordinate time series. Secondly, the modal components of EMD decomposition are denoised with the wavelet model.Finally,the EMD reconstruction gives the extracted time series. Compared with the denosing models based on Wavelet, Kalman and EMD, the EMDWavelet model has relatively higher SignaltoNoise Ratio(SNR) than other models and the lowest Root MeanSquare Error (RMSE) ，ENAE and EBias with respect to the x/y/z coordinate time series. The results show that the EMDWavelet model has relative advantage in the data processing of GPS dynamic deformation monitoring.
