摘要
本文基于全球均匀分布的100 个测站分析了GPS、GLONASS、Galileo、BDS-2、BDS-3 和QZSS六系统融合静态和动态PPP定位性能.结果表明:多系统融合极大地减少了收敛时间,提高了定位精度.单GPS和六系统融合静态PPP水平、高程和三维分量平均收敛时间分别为18.5、18.0、19.0 min和11.5、12.0、12.5 min,1 h定位精度分别为1.9、2.2、2.1 cm和1.2、1.5、1.4 cm.单GPS和六系统融合动态PPP水平、高程和三维分量平均收敛时间分别为34.5、33.5、36.0 min和15.0、15.5、16.5 min,收敛后定位精度分别为1.9、2.6、2.3 cm和0.9、1.6、1.3 cm.
Abstract
This paper analyzes the performance of static and kinematic PPP of combined GPS,GLONASS,Galileo,BDS-2,BDS-3 and QZSS with global 100 stations evenly distributed.The results show that multi-system fusion greatly reduces the convergence time and improves the positioning accuracy.The average convergence time of horizontal,vertical and three-dimensional components of GPS-only and six-system fusion static PPP is 18.5,18.0,19.0 min and 11.5,12.0 and 12.5 min,respectively,and the one-hour positioning accuracy is 1.9,2.2,2.1 cm and 1.2,1.5 and 1.4 cm,respectively.The average convergence time of horizontal,vertical and three-dimensional components of GPS-only and six-system dynamic PPP is 34.5,33.5,36.0 min and 15.0,15.5 and 16.5 min respectively,and the positioning accuracy after convergence is 1.9,2.6,2.3 cm and 0.9,1.6 and 1.3 cm respectively.
维普
万方数据