EMD-Wavelet???????????????????????е????

????????·????????????????GPS???ж?????????????????????η???????????????С????????????EMD????????????????????μ?????????????????EMD??Wavelet????????????????????????е?????????С????????EMD?????????????н???EMD?????????????????????????????????????С???Wavelet??Kalman?????Kalman?????EMD?????EMD??Wavelet??????????????????????С????????????????????????????EMD??Wavelet?????GPS??????μ??????????????????

APPLYING WAVELET EXTENDED EMD NOISE REDUCTION MODEL TO DYNAMIC DEFORMATION DATA PROCESSING

Aiming at the problem that dynamic monitoring data accuracy from GPS can not meet the need of deformation analysis because of the multi path and other factors,a new EMD Wavelet dynamic deformation data de noising 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 de noised 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 EMD Wavelet model has relatively higher Signal to Noise Ratio(SNR) than other models and the lowest Root Mean Square Error (RMSE) ，ENAE and EBias with respect to the x/y/z coordinate time series. The results show that the EMD Wavelet model has relative advantage in the data processing of GPS dynamic deformation monitoring.