Abstract: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.
DING He,SUN Fuping,LI Yaping et al. Modeling and Performance Analysis of Combined BDS/GPS/GLONASS Precise Point Positioning[J]. jgg, 2016, 36(4): 303-307.