Sub-network division methods for global large-scale GNSS networks
This paper aimed to explore the performance differences of various sub-network division schemes in processing data from a global scale of approximately 640 global navigation satellite system(GNSS)stations over two years.Two sub-network division schemes were proposed,and their data processing effects were compared through the evaluation of baseline solution accuracy and network adjustment solution accuracy.The results indicate that the relative accuracy of baseline solutions for both schemes reaches the level of 10-8-10-9 m,with baseline repeatability of less than 3.1 mm.Scheme 2 exhibits a 66.33%improvement in the relative accuracy of the baseline solution and a 6.23%improvement in baseline repeatability compared to Scheme 1.In terms of network adjustment solution,the internal consistency accuracy of both schemes is in the range of 3-7 mm,with the mean difference ranging between 1 mm and 3 mm compared to the weekly solutions of international GNSS service(IGS),demonstrating high solution accuracy.The mean and standard deviation of coordinate results based on Scheme 2 are reduced by an average of 30.64%and 13.35%in three dimensions compared to the weekly solutions of IGS,respectively.Overall,although both schemes achieve high data processing accuracy,Scheme 2 significantly enhances the precision of large-scale GNSS network data processing due to its optimized sub-network division and the stability of its network structure.This research provides effective sub-network division schemes for global large-scale GNSS data processing,which is of great significance for improving the accuracy of GNSS data processing.
global navigation satellite system(GNSS)large-scale global navigation satellite system(GNSS)networksub-network divisionbaseline solutionnetwork adjustment
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