Abstract:Aiming at the problems of gross errors in the GNSS elevation coordinate time series, instability in the elevation coordinate time series, and difficulty in detecting outliers caused by nonlinearity, we establish a gross error detection method combining SSA and Sn estimator with singular spectrum analysis. Using experimental simulation data and measured data respectively, we compare the detection effect of this method with the conventional 3σ and MAD methods. The results show that the overall detection rate of the SSA-Sn gross error detection method is better and that it satisfies the demand for high-reliability GNSS coordinate time series.