Research on differential data fusion processing method for dual GNSS base stations

Abstract

Abstract In the differential processing of global navigation and positioning system (GNSS) trajectory data from dual base stations, a hierarchical fusion processing method is proposed based on the trajectory parameter layer for two trajectory parameters generated by the different dual base stations according to the distribution pattern. Trajectory segment that satisfies the differential baseline of a priori data accuracy are given high weight to prioritize for fusion, and the portion exceeding the maximum differential baseline distance is weighted fusion according to the sliding window plus polynomial fitting to determine the weighted coefficients. By practical testing, the statistical residuals of the weighted fusion trajectory in the horizontal and vertical directions reduced by 32.83% and 30.19% respectively compared to the unfused trajectory.