Periodic signal extraction of GNSS height time series based on adaptive singular spectrum analysisOA
Periodic signal extraction of GNSS height time series based on adaptive singular spectrum analysis
Singular spectrum analysis is widely used in geodetic time series analysis.However,when extracting time-varying periodic signals from a large number of Global Navigation Satellite System(GNSS)time series,the selection of appropriate embedding window size and principal components makes this method cumbersome and inefficient.To improve the efficiency and accuracy of singular spectrum analysis,this paper proposes an adaptive singular spectrum analysis method by combining spectrum analysis with a new trace matrix.The running time and correlation analysis indicate that the proposed method can adaptively set the embedding window size to extract the time-varying periodic signals from GNSS time series,and the extraction efficiency of a single time series is six times that of singular spectrum analysis.The method is also accurate and more suitable for time-varying periodic signal analysis of global GNSS sites.
Chenfeng Li;Peibing Yang;Tengxu Zhang;Jiachun Guo
Three Gorges Geotechnical Engineering Co.Ltd(Wuhan),Wuhan 430074,ChinaCollege of Resources and Environmental Science and Engineering,Hubei University of Science and Technology,Xian'ning 437100,ChinaCollege of Civil Engineering,Anhui Jianzhu University,Hefei 230601,China
GNSSTime seriesSingular spectrum analysisTrace matrixPeriodic signal
《大地测量与地球动力学（英文版）》 2024 (001)
50-60 / 11
We are very grateful to all of the reviewers and editors for their constructive comments,which improve the quality of this paper.This study is supported by the National Natural Science Foundation of China(Grants:42204006,42274053,42030105,and 41504031),the Open Research Fund Program of the Key Laboratory of Geospace Environment and Geodesy,Ministry of Education,China(Grants:20-01-03 and 21-01-04).
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