磁暴期间铁路带状CORS网的定位性能分析OA

To study the positioning performance variation of the railway continuously operating reference station(CORS)during magnetic storms,this paper utilized data collected from a linear CORS network of a railway in Southwest China dur-ing a magnetic storm on December 1,2023.It conducted a comparative analysis of three ionospheric interpolation models,namely the linear interpolation method(LIM),the distance-based linear interpolation method(DIM),and the least squares constant(LSC)method,and an experimental evaluation was carried out from three core dimensions:baseline double-difference ionospheric delay,the accuracy of different interpolation models,and the positioning accuracy of stations both inside and outside the network.The results show that magnetic storms cause abnormal activity in double-difference iono-spheric delays,which can lead to the failure of baseline resolution in severe cases.Among the three interpolation models,the DIM model exhibits relatively poor accuracy,with only 38.52%of its double-difference ionospheric interpolation values hav-ing a deviation of less than 1 cm.In addition,the positioning accuracy of stations outside the network experiences a more sig-nificant decline compared to those inside during magnetic storms,with the horizontal accuracy exceeding 3 cm and the verti-cal accuracy reaching approximately 4.8 cm.The research findings of this paper can provide certain data support and techni-cal references for the subsequent optimization of positioning algorithms under magnetic storm conditions and the exploration of ionospheric model corrections suitable for railway linear CORS networks.