Abstract Aiming at the problem that GNSS elevation time series inevitably contains gross errors, and the difficulty of detecting gross errors in nonlinear and unstable elevation time series, we construct a WT-MAD gross error detection method based on the traditional MAD method, which introduces wavelet analysis. We use experimental simulation data and the measured elevation data of three IGS stations of LHAZ, BJFS, and TWTF to conduct experiments. The WT-MAD method is compared with the 3σ method, the IQR method, and the MAD method based on least squares. The results show that the WT-MAD method established in this paper can more effectively detect gross errors in the GNSS elevation time series and provide more “clean” data for the subsequent analysis and processing of the GNSS elevation time series.
LU Tieding,HE Jinliang,XU Huaqing et al. An Improved Gross Error Detection Method for GNSS Elevation Time Series Based on MAD[J]. jgg, 2022, 42(4): 349-354.
LU Tieding,HE Jinliang,XU Huaqing et al. An Improved Gross Error Detection Method for GNSS Elevation Time Series Based on MAD[J]. jgg, 2022, 42(4): 349-354.