Abstract:We solve the problem that the analysis of crustal deformation is affected by outliers in GNSS coordinate time series. Firstly, we introduce the classical data detection method DIA(detection, identification, adaptation) into the GNSS coordinate time series analysis. Then, we use an efficient DIA algorithm for outlier detection. Finally, we use the simulated data and the real data of the Crustal Movement Observation Network of China(CMONOC) to compare the DIA algorithm with the traditional 3σ method. The results show that the DIA algorithm can effectively detect the anomalous values in the GNSS coordinate time series with higher accuracy than the traditional 3σ method. Compared with the traditional DIA algorithm, the computational efficiency of the improved DIA algorithm is significantly improved.