Application of Coupling Model Based on CEEMD in Noise Reduction of GNSS Deformation Monitoring Data
In order to effectively extract the useful information from the deformation monitoring data of GNSS(Global Navigation Satel-lite System)and minimize the interference of noise on the subsequent analysis of data,a coupled noise reduction model based on com-plete ensemble empirical mode decomposition(CEEMD)is proposed in this paper.The steps of signal noise reduction in the coupling model are as follows:Firstly,CEEMD is used to adaptively decompose the original signal to obtain several intrinsic mode functions(IMF)and residual terms;Secondly,according to the mean of standardized accumulated modes(MSAM)of different IMF compo-nents,IMF components are divided into high-frequency IMF components and low-frequency IMF components;Finally,the Wavelet and GavGol filtering methods are used to further denoise the high-frequency components and low-frequency components,and the de-noising results are reconstructed to obtain the final denoised signal.The simulation data and the measured GNSS data are used to test the coupling model proposed in this paper.The results show that compared with a single noise reduction model,the model proposed in this paper can eliminate noise more effectively and show a better noise reduction effect.
GNSS deformation monitoringnoise reductioncomplete ensemble empirical mode decompositionWaveletSavgol filte-ringcoupling model
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