Abstract:Because the gross error in the time series of GNSS is a three-dimensional position gross error, this paper proposes an iterative least-squares gross error detection method on 3D coordinates. According to the experimental simulation data, the gross error detection in one direction and in three directions of north, east, and up is compared with the 3σ criterion and the interquartile range (IQR) criterion, respectively. The results show that the effect on three directions is much better than that in one direction. And the detection efficiency of three directions detection is beyond 95%. The 3σ criterion detected more gross errors than the IQR criterion, but the misjudgment rate is higher. Application in real GNSS time-series data shows that gross errors in the raw type of some global IGS stations provided by SOPAC (Scrips Orbit and Permanent Array Center) range from 0.1% to 4.7% of the station data. Time series detected by IQR gross error in three directions is cleaner than its cleaned trend type.
XU Wei,Lü Zhiping,DONG Hang et al. Gross Error Detection of GNSS Coordinate Time Series on Three-Dimensional Directions[J]. jgg, 2021, 41(10): 1018-1023.