GNSS High Precision Dynamic Deformation Monitoring Research Based on CEEMD Auto Correlation De-Noising Technique
Abstract In order to eliminate noise in the deformation sequence, the signal is decomposed into different scales using the CEEMD method. Aiming at the problem that the signal and noise distinguish criteria are not unique, a de-noising algorithm, based on the combination of CEEMD and auto correlation analysis, is proposed to separate the signals and random signals. The algorithm is applied to a simulation experiment and to GNSS deformation monitoring data, and compared with traditional wavelet de-noising methods. Compared with the wavelet method, the algorithm has a better effect.
Key words :
CEEMD
auto correlation
deformation monitoring
de-noising technique
Cite this article:
QIAN Rongrong,WANG Jian,LIU Licong. GNSS High Precision Dynamic Deformation Monitoring Research Based on CEEMD Auto Correlation De-Noising Technique[J]. jgg, 2017, 37(6): 623-626.
QIAN Rongrong,WANG Jian,LIU Licong. GNSS High Precision Dynamic Deformation Monitoring Research Based on CEEMD Auto Correlation De-Noising Technique[J]. jgg, 2017, 37(6): 623-626.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2017/V37/I6/623
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