Application of EMD to GNSS Time Series Periodic Term Processing

LIU Xikang; DING Zhifeng; LI Yuan; LIU Zhiguang

doi:10.13203/j.whugis20210029

Volume 48 Issue 1

Jan. 2023

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Geomatics and Information Science of Wuhan University > 2023 > 48(1): 135-145. > DOI: 10.13203/j.whugis20210029

LIU Xikang, DING Zhifeng, LI Yuan, LIU Zhiguang. Application of EMD to GNSS Time Series Periodic Term Processing[J]. Geomatics and Information Science of Wuhan University, 2023, 48(1): 135-145. DOI: 10.13203/j.whugis20210029

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Application of EMD to GNSS Time Series Periodic Term Processing

1.
Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
2.
The First Crust Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China

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Received Date: January 08, 2021
Available Online: February 07, 2023
Published Date: January 04, 2023

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Abstract

Abstract

Objectives The position time series of global navigation satellite system (GNSS) contain rich tectonic and non-tectonic deformation information, and the complex components are difficult to accurately model and effectively separate non-tectonic information. It is very important to remove the non-tectonic deformation information for the accurate and effective application of the observation data.
Methods Empirical mode decomposition(EMD)is an adaptive time-frequency processing method to correct the period term of time series at 24 GNSS continuous stations and 2 mobile stations in Sichuan Province and Yunnan Province.
Results The results show that the correction of the period term is necessary, and the EMD method can extract the different frequency and amplitude period components adaptively according to its own characteristics of signal at each station. Compared with the original time series, the average root mean square error after correction is reduced significantly in N, E and U directions. And EMD method is more accurate and effective than harmonic model modification. We use the modified continuous station time series to simulate the mobile observations, and find that relatively reliable motion velocities can be obtained after an observation period of 5⁃6 years. The stability and reliability of EMD method are verified by correcting the period term of the mobile station with the actual continuous observation station at a close distance.
Conclusions This paper provides a reference and theoretical basis for the implementation of mobile GNSS observation and the correction of observation data.
- global navigation satellite system(GNSS),
- periodic motion,
- mobile observation,
- harmonic models,
- empirical mode decomposition

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