A Precise Multi-GNSS Data Processing Algorithm with Double Difference Observations Based on the Normal Equation Stacking Technique

doi:10.13474/j.cnki.11-2246.2018.0322

Abstract

Abstract: The mathematical models and methods of multi-GNSS data processing are the current focus of GNSS research. In this paper, an effective double-difference algorithm for multi-GNSS is proposed based on the normal equations stacking technique. The formula for unifying the priori values of parameters from different GNSS is derived, as well as the means of removing and re-imposing the priori constraints and the normal equation stacking method. The availability and accuracy of the new algorithm is verified in this paper with the observations from the deformation monitoring experimental platform. The results show that the accuracy for short baselines is better than 1 mm for the horizontal components, 2 mm for the vertical components with this new multi-GNSS data processing algorithm and the GPS/BDS observations, which could satisfy most of the deformation monitoring projects.

Key words: multi-GNSS, double difference, normal equation stacking, deformation monitoring

CLC Number:

P228

XIAO Yugang, WANG Zheng, CHEN Hua, YU Shougang. A Precise Multi-GNSS Data Processing Algorithm with Double Difference Observations Based on the Normal Equation Stacking Technique[J]. 测绘通报, 2018, 0(10): 88-92.

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