Improved Shadow Matching Positioning Algorithm Based on High Score Weighting

Traditional shadow matching signal-to-noise ratio (SNR) threshold cannot distinguish LOS／NLOS effectively, resulting in larger positioning error because of inaccurate visibility of the satellites.Based on the analysis of the SNR characteristics received by the receiver in the urban canyon, an improved shadow matching algorithm based on high score weighting is proposed,and the results of improved algorithm are filtered by particle filterin the dynamicscene.Experimental results show that the average positioning error of the algorithm is 2.45 m and 4.64 m in static and dynamic scene, which is reduced by 38.1％ and 21.9％ compared to 3.96 m and 5.95 m of traditional shadow matchingpositioning algorithm.