铁路带状CORS的VRS内插模型研究

Research on VRS interpolation model of railway strip CORS

针对铁路带状CORS系统存在的网外收敛速度慢、定位精度低的问题,本文对3种VRS的大气延迟内插模型,即最小二乘配置模型、距离相关内插模型和线性内插模型进行了误差仿真分析。真结果显示,在带状网型中,LSC模型的抗差性能最佳,其次为DIM模型,LIM模型则表现最差。然后基于某高速铁路CORS网络的GNSS观测数据,3种模型进行了实证测试,结果与仿真相吻合。具体为,LSC/DIM/LIM模型的定位精度在水平方向约为3.0、5.3、14.1 cm,高程为3.5、6.8、43.1 cm。LSC模型最适用于带状网络VRS定位。此外,本研究可为铁路CORS系统的精化提供参考。

Addressing the issues of slow convergence speed and low positioning accuracy in railway strip CORS systems,this paper conducted an error simulation analysis on three VRS tropospheric delay interpolation models:the least squares collocation(LSC),distance-interrelated model(DIM)and linear interpolation model(LIM).Simulation outcomes revealed superior robustness in the LSC model within the strip network,followed by DIM,with LIM being the least efficient.Empirical tests on GNSS observational data from a specific high-speed railway CORS network corroborated these findings.Specifically,positioning accuracies for LSC,DIM,and LIM were approximately 3.0,5.3 and 14.1 cm horizontally,and 3.5,6.8 and 43.1 cm vertically,respectively.Evidently,the LSC model is most suited for VRS positioning in strip networks.This study holds promise for refining railway CORS systems.