CEEMDAN在GNSS时间序列分析中的应用

doi:10.12196/j.issn.1000-3274.2022.03.007

Abstract

Abstract: The validity and reliability of the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) method in the data analysis and processing are verified by processing the simulated signals. Using this method to decompose the N, E and U direction time series of 10 GNSS (Global Navigation Satellite System) continuous stations, it is found that not only annual and semi-annual period signals exist, but also shorter or longer period signals exist in some stations, and the vertical periodicity is more obvious than the horizontal direction, and the corresponding amplitudes are larger. The average WRMS (Weighted Root Mean Square error) of the time series in the N, E, and U directions was reduced by 19.8%, 19.0%, and 29.9%, respectively, compared to the original N, E, and U directions after the periodic term correction, indicating the effectiveness of the method for periodic term correction.

Key words: GNSS, Periodic term, Harmonic model, CEEMDAN

CLC Number:

P315.7

LIU Xi-kang, DING Zhi-feng, LI Yuan, LI Jin-wu. Application of CEEMDAN in GNSS Time Series Analysis[J]. EARTHQUAKE, 2022, 42(3): 99-110.

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Application of CEEMDAN in GNSS Time Series Analysis

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