Analytical Method of CORS Height Time Series Based on K-Means Clustering EEMD
Abstract We advance an analytical method of CORS height time series based on K-means clustering EEMD. Aiming at the problem of low signal-to-noise ratio and partial mode mixing in signal decomposition of traditional EEMD, we add positive and negative white noise EEMD to improve signal decomposition SNR. Based on the K-means clustering method, we cluster the various IMF components decomposed in the EEMD iterative process. The experience results show that the method improves the SNR by more than 3%, and the decomposition accuracy based on index of orthogonality increases by more than 26%. The clustering results can solve the problem of mode mixing of the approximate year, half-year and two years periodic signals in the IMF.
Key words :
height time series
mode mixing
K-means clustering
SNR
index of orthogonality
Cite this article:
ZHANG Hengjing,QI Xin,WEN Hanjiang. Analytical Method of CORS Height Time Series Based on K-Means Clustering EEMD[J]. jgg, 2019, 39(10): 1053-1057.
ZHANG Hengjing,QI Xin,WEN Hanjiang. Analytical Method of CORS Height Time Series Based on K-Means Clustering EEMD[J]. jgg, 2019, 39(10): 1053-1057.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2019/V39/I10/1053
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