APPLYING WAVELET EXTENDED EMD NOISE REDUCTION MODEL TO DYNAMIC DEFORMATION DATA PROCESSING
Zhao Yuling 1) ;Zhang Zhaojiang 1) ;Yao Xikang 2) ;and Liu Haixin 1)
1)Hydroellectrical Institute,Hebei University of Engineering，Handan 0560382)China Cole Handan Design Engineering Co.,Ltd., Handan 056038
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.
Key words ：
empirical mode decomposition(EMD)
wavelet transformation
noise reduction model
dynamic deformation
data processing
Received: 01 January 1900
Corresponding Authors:
Zhao Yuling
Cite this article:
Zhao Yuling ,Zhang Zhaojiang ,Yao Xikang et al. APPLYING WAVELET EXTENDED EMD NOISE REDUCTION MODEL TO DYNAMIC DEFORMATION DATA PROCESSING[J]. , 2010, 30(5): 77-80.
Zhao Yuling ,Zhang Zhaojiang ,Yao Xikang et al. APPLYING WAVELET EXTENDED EMD NOISE REDUCTION MODEL TO DYNAMIC DEFORMATION DATA PROCESSING[J]. jgg, 2010, 30(5): 77-80.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2010/V30/I5/77
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