BDS/GPS/GLONASS组合精密单点定位模型及性能分析

针对精密单点定位中多系统融合的问题，提出BDS/GPS/GLONASS 组合PPP的函数模型及随机模型，实现了基于扩展卡尔曼滤波的BDS/GPS/GLONASS 组合PPP。利用实测数据进行静态及静态模拟动态的BDS/GPS/GLONASS 组合PPP实验，结果表明:1）静态实验中，BDS PPP平均收敛时间约为80 min，水平方向精度优于3 cm，天向精度优于6 cm；GPS PPP与多系统组合PPP定位精度相当，且收敛时间与组合PPP所应用的各系统中收敛较快的单系统PPP的收敛时间相当；2）动态实验中，BDS PPP的平均收敛时间约为105 min，水平方向精度优于7 cm，天向精度优于12 cm；多系统组合PPP的精度要优于单系统PPP，且有效缩短了收敛时间。

Modeling and Performance Analysis of Combined BDS/GPS/GLONASS Precise Point Positioning

In view of the problem of multi-mode fusion, the BDS/GPS/GLONASS combined PPP’s (precise point positioning) function and random models are given. Based on extended Kalman filter (EKF), the BDS/GPS/GLONASS combined PPP algorithm is realized. Both static and kinematic PPP are tested using observational data, and the results show that: 1) In static PPP, the convergence time of BDS is about 80 min and the positioning accuracy of BDS is about 3 cm in horizontal, 6 cm in vertical. Compared to GPS PPP, the combined PPP has a similar accuracy, and the convergence time is consistent with the convergence time of single system, which is applied in combined PPP and converges faster.2）In kinematic PPP, the convergence time of BDS is about 105 min, and a position accuracy of 7 cm in horizontal and 12 cm in vertical can be achieved. Compared to single system PPP, both the convergence time and accuracy of combined PPP are improved.