测绘科学技术学报2025，Vol.41Issue(1)：15-20,6.DOI:10.3969/j.issn.1673-6338.2025.01.003
用CEEMDAN-ICA去除GNSS坐标时间序列噪声
Remove GNSS Coordinate Time Series Noise with CEEMDAN-ICA
摘要
Abstract
In order to improve the problem of inaccurate noise identification by the correlation coefficient criterion,a coordinate time series noise reduction method combining complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)and independent component analysis(ICA)is proposed.Firstly,the coordinate time series is decomposed by CEEMDAN,and the high frequency components are obtained according to the correlation coefficient criterion.Then the ICA decomposition is performed and the independent components containing noise are removed according to the permutation entropy.Finally,the coordinate time series is reconstructed by summing the remaining components.The validity of the proposed method is verified by simulation data and actual data exper-iment.The experimental results show that the noise added in the simulated data can be well separated by CEEM-DAN-ICA.Compared with the results of correlation coefficient criterion and EEMD(ensemble empirical mode de-composition)-ICA method,the root-mean-square error of the denoised data are reduced by 28.4%and 18.8%re-spectively,and the signal-to-noise ratio are increased by 18.5%and 8%respectively.For coordinate time series,the root-mean-square error of CEEMDAN-ICA denoising results in N,E and U directions are the smallest,with an average of 1.44,1.27 and 2.92 mm.The signal-to-noise ratio are the largest,with an average of 11.13,12.54 and 15.78 dB.关键词
GNSS坐标时间序列/相关系数准则/自适应噪声完备经验模态分解/独立成分分析/排列熵Key words
GNSS coordinate time series/correlation coefficient criterion/complete ensemble empirical mode de-composition with adaptive noise/independent component analysis/permutation entropy分类
测绘与仪器引用本文复制引用
范小猛,胡川,张重阳,李成洪,赵立都..用CEEMDAN-ICA去除GNSS坐标时间序列噪声[J].测绘科学技术学报,2025,41(1):15-20,6.基金项目
国家重点研发计划项目(2021YFB2600600 （）
2021YFB2600603) （）
重庆市基础科学与前沿技术研究(一般)项目(cstc2017jcyjAX0102) （一般）
重庆交通大学研究生科研创新项目(CYS21341). （CYS21341）
