不同对流层模型对B1C/B2a组合PPP的影响分析

Analysis of the Influence of Different Tropospheric Models on B1C/B2a Combination PPP

对流层延迟是GNSS定位主要的误差源之一,因此分析不同对流层模型对BDS-3系统B1C/B2a组合PPP的影响是非常必要的。本文结合多个MGEX测站数据,进行了GPT、GPT2、GPT2w 3种对流层模型静态与动态PPP解算实验。实验结果表明,3种对流层模型解算得到的B1C/B2a组合静态与动态PPP定位误差与精度一致性较好,定位精度可以达到厘米级,但3种模型解算得到的定位精度差异在亚毫米级,整体来说,GPT2w模型解算得到的定位精度最优,其次为GPT2模型,GPT模型略低于其他两种模型。

Tropospheric delay is one of the main error sources of GNSS positioning so it is necessary to analyze the impact of different tropospheric models on the B1C/B2a combined PPP of the BDS-3 system.This article combines data from multiple MGEX stations to conduct static and dynamic PPP calculation experiments on three tropospheric models:GPT,GPT2,and GPT2w.The experimental results show that the B1C/B2a combined static and dynamic PPP positioning error and accuracy obtained by the three tropospheric models have good consistency,and the positioning accuracy can reach the centimeter level,but the difference in positioning accuracy calculated by the three models is at the sub-millimeter level.On the whole,the positioning accuracy obtained by the GPT2w model is the best,followed by the GPT2 model,and the GPT model is slightly lower than the other two models.