GNSS station velocity estimation method based on extrema symmetric mode decomposition
The velocities of global navigation satellite system(GNSS)stations are crucial indicators for describing crustal movement.This paper aimed to improve the precision of monitoring crustal movement through high-precision analysis methods.Based on the coordinate time series data in the east(E),north(N),and up(U)directions from two GNSS stations(G178 and J753)in Japan from 2016 to 2023,the extrema symmetric mode decomposition(ESMD)with least squares fitting technique was innovatively integrated to optimize the velocity estimation in the E,N,and U directions.The results show that the estimated velocities of station G178 in the N,E,and U directions are-1.69,-1.58 and 4.60 mm/a,respectively,with estimation residuals of 0.03,0.02 and 0.04 mm/a.For station J753,the velocities in the N,E,and U directions are-5.13,15.62 and 7.17 mm/a,respectively,with estimation residuals of 0.14,0.04 and 0.08 mm/a.The proposed station velocity estimation method in this paper improves the estimation precision by 19.81%-67.24%and the goodness of fit for station velocity by 0.7%-2.1%.This research confirms that the proposed method effectively enhances the precision of GNSS station velocity estimation,holding significant scientific value and practical implications for monitoring crustal movement.
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