Abstract:
Aiming at the characteristics of quantity and fluctuation range on the gross error from global navigation satellite system (GNSS) deformation monitoring time series, we propose an improved 3
σ method of gross error detection based on wavelet analysis. We use simulated data and actual engineering data, and compare the detection results with the traditional 3
σ method and inter-quartile range (IQR) method respectively. The experimental results show that compared with the traditional 3
σ method and IQR method, the improved 3
σ method not only has better effect on the overall detection rate, but also has more obvious advantages in detecting 3
σ to 5
σ gross error. Thus, it is more suitable for the actual requirement of GNSS deformation monitoring project.