Abstract:The shadow matching algorithm can improve the GNSS positioning accuracy of mobile terminal in urban canyons, but the signal-to-noise ratio (SNR) threshold used to judge the visibility of satellites in traditional shadow matching algorithm is a fixed single threshold that cannot ensure the correct judgment of the visibility of all satellites, which affects the positioning accuracy. To the above situation, we propose a shadow matching algorithm based on dynamic threshold. The judgment threshold of each satellite changes with the mutual correction of geometric visibility and SNR visibility. Through the calculation and comparative analysis of two shadow matching algorithms for mobile phone GNSS original positioning results and Kalman filtering positioning results, we prove that the average point error of dynamic threshold method can be reduced by 15.1% in standard single point positioning and 22.4% in Kalman filtering compared with single threshold method, and the positioning accuracy has been improved.
WANG Shitai,ZHANG Boyu,YIN Min. Research on Shadow Matching Algorithm for GNSS Positioning of Mobile Terminal Based on Dynamic Threshold[J]. jgg, 2021, 41(11): 1101-1105.