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GNSS monitoring data processing based on ensemble empirical mode decomposition method

XU Fei;Dezhou Bureau of Natural Resources;  
In order to extract useful information, such as deformation signal and vibration signal from GNSS monitoring data to obtain deformation characteristics and vibration characteristics of the structure, ensemble empirical mode decomposition(EEMD) method, empirical mode decomposition(EMD) method and wavelet analysis method are used in this paper to process bridge GNSS monitoring data. The process of EEMD processing GNSS monitoring data is to decompose the signal according to the scale of the signal itself, carry out Fourier transform on the intrinsic mode function(IMF) generated by the decomposition, get the spectrum characteristics of each IMF component, and construct EEMD spatial-temporal filter based on the spectrum characteristics. By comparing the simulated signals and monitoring GNSS data, the results are as follows: The denoising effect of EEMD is better than that of EMD method and wavelet analysis method; It can effectively extract the deformation signal and vibration signal in the monitoring data, and avoid such problems as the EMD modal aliasing in the process of signal processing and the differences in denoising effects caused by different wavelet base selections in the process of signal processing by wavelet analysis. The results of this paper can provide data basis for further analysis of monitoring structure.
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