GNSS Coordinate Time Series Denoising Method Combining SSA-VMD and Wavelet Decomposition
Abstract The sparrow search algorithm(SSA) is used to optimize the variational mode decomposition(VMD), then combining wavelet decomposition(WD), we propose a GNSS coordinate time series noise reduction method(IVMD-WD). This article conducts experiments using simulated signals and measured data from 10 reference stations.The results show that compared with empirical mode decomposition(EMD), ensemble empirical mode decomposition(EEMD) and WD, the IVMD-WD method has the best noise reduction effect, it can more effectively eliminate noise in the GNSS coordinate time series.
Key words :
sparrow search algorithm
variational mode decomposition
wavelet decomposition
multi-scale permutation entropy
GNSS coordinate time series
Cite this article:
YANG Houming,LU Tieding,SUN Xiwen et al. GNSS Coordinate Time Series Denoising Method Combining SSA-VMD and Wavelet Decomposition[J]. jgg, 2024, 44(4): 360-365.
YANG Houming,LU Tieding,SUN Xiwen et al. GNSS Coordinate Time Series Denoising Method Combining SSA-VMD and Wavelet Decomposition[J]. jgg, 2024, 44(4): 360-365.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2024/V44/I4/360
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