Noise reduction and periodic signal extraction for GNSS height data in the study of vertical deformation

作     者：Jingqi Wang Kaihua Ding Heping Sun Geng Zhang Xiaodong Chen Jingqi Wang;Kaihua Ding;Heping Sun;Geng Zhang;Xiaodong Chen

作者机构：School of Geography and Information EngineeringChina University of GeosciencesWuhan 430074China State Key Laboratory of Geodesy and Earth's DynamicsInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430077China University of Chinese Academy of SciencesBeijing 100049China 

出 版 物：《Geodesy and Geodynamics》 (大地测量与地球动力学（英文版）)

年 卷 期：2023年第14卷第6期

页      面：573-581页

核心收录：

学科分类：081802[工学-地球探测与信息技术] 08[工学] 081105[工学-导航、制导与控制] 0818[工学-地质资源与地质工程] 0804[工学-仪器科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.42192535,42174012,42174101,41974023) the Open Fund of Hubei Luojia Laboratory(Grant No.S22H640201) 

主　　题：Vertical surface deformation GNSS height time series CEEMDAN Denoising Periodic signal extraction 

摘      要：Global navigation satellite system(GNSS)technique has irreplaceable advantages in the continuous monitoring of surface *** noise to improve the signal-to-noise ratio(SNR)and extract the concerned signals is of great *** an improved algorithm of empirical mode decomposition(EMD),complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)algorithm has better signal processing *** the CEEMDAN algorithm,the height time series of 29GNSS stations in Chinese mainland were analyzed,and good denoising effects and extraction from periodic signals were *** numerical results showed that the annual signal obtained with the CEEMDAN algorithm was significantly based on Lomb_Scargle spectrum analysis,and large differences in the long-term signals were found between the stations at different locations in Chinese *** respect to data denoising,compared with the EMD and wavelet denoising algorithms,the CEEMDAN algorithm respectively improved the SNR by 29.35% and 36.54%,increased the correlation coefficient by 8.67% and 11.96%,and reduced root mean square error(RMSE)by 44.68% and 43.48%,indicating that the CEEMDAN algorithm had better denoising behavior than the other two *** addition,the results demonstrated that different denoising methods had little influence on estimating the annual vertical deformation *** extraction of periodic signals showed that more components were retained by using the CEEMDAN algorithm than the EMD algorithm,which indicated that the CEEMDAN algorithm had advantages over frequency *** conclusion,the CEEMDAN algorithm was recommended for processing the GNSS height time series to analyze the vertical deformation due to its excellent features of denoising and the extraction of periodic signals.