Smartphone RTK positioning based on integrated weighting of GNSS base station signal-to-noise ratio and joint satellite system
With the continuous improvement of smartphone chip and antenna performance,high-precision positioning based on mobile phones has gradually attracted widespread attention from academia and industry.Compared with single-point positioning,real-time kinematic(RTK)positioning usually shows higher positioning performance.However,there are still relatively few studies on the stochastic model of mobile phone RTK positioning.Therefore,this study takes Xiaomi 8 as an example to focus on the stochastic model of smartphones in a multi-system RTK positioning scenario.The research results show that different systems There are significant differences in satellite pseudorange noise,while the difference in phase noise is smaller.Based on this,this paper proposes a stochastic model of base station signal-to-noise ratio combined with comprehensive weighting between satellite systems,which is more efficient than the traditional signal-to-noise ratio model.The weight distribution between different systems was accurately considered.Static and kinematic experiments were conducted under open and occluded conditions.The results show that compared with the traditional signal-to-noise ratio model,the new model is RTK positioning accuracy in the three-dimensional direction under static openness,static occlusion,kinematic openness and kinematic occlusion has increased by 18.7％,18.3％,3.3％and 4.6％respectively.
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