Abstract:In this paper, we carry out noise and non-tectonic deformation removal of GNSS vertical series by the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and least squares method. Firstly, the ICEEMDAN method is used to decompose the GPS vertical series, and analyze the anniversary, half-anniversary and trend of the GNSS vertical series. Then, the improved wavelet threshold and permutation entropy method is used to denoise the GNSS vertical series. Finally, the least-squares method is used to fit the non-tectonic deformation series, the number of decomposition layers closest to it is found and corrected, and we obtain the GNSS vertical deformed information of noise removal and non-tectonic deformation. The results show that the ICESSDAN method can effectively remove the vertical tectonic noise of GNSS and the ICEMDAN and least squares method can improve the measurement accuracy of GNSS vertical series deformation. The RMS value is reduced by an average of 1.28 mm, and the WRMS difference increases by 0.33 mm on average.
WANG Yong,SHI Qiang,LOU Zesheng et al. GNSS Vertical Series Noise and Non-Tectonic Deformation RemovalBased on ICEEMDAN and Least Squares[J]. jgg, 2020, 40(1): 39-44.