Combining the observation data from five Multi-GNSS Experiment(MGEX)stations with the precise orbit and clock products from Global Positioning System(GPS)and BeiDou Navigation Satellite System(BDS),we studied the mode...Combining the observation data from five Multi-GNSS Experiment(MGEX)stations with the precise orbit and clock products from Global Positioning System(GPS)and BeiDou Navigation Satellite System(BDS),we studied the model of combined GPS/BDS precise point positioning,and then analyzed the convergence speed and short-time(6 h)positioning accuracy.The calculation results show that in static positioning,the average convergence time of GPS is about 50 min,and its horizontal accuracy is better than 2 cm while the vertical accuracy is better than 4 cm.The convergence speed of combined GPS/BDS is about 40 min,and its positioning accuracy is close to that of GPS.In kinematic positioning,the average convergence time of GPS is about 72 min,and its horizontal accuracy is better than 5 cm while the vertical accuracy is better than 12 cm.The average convergence time of GPS/BDS is about 57 min,and its horizontal accuracy is better than 3 cm while the vertical accuracy is better than 9 cm.Combined GPS/BDS has significantly improved the convergence speed,and its positioning accuracy is slightly than that of GPS.展开更多
Combined GPS/GLONASS can increase the accuracy and reliability of positioning especially in some applications with many impediments.Due to the atmosphere delay,the commonly used methods for processing short distance b...Combined GPS/GLONASS can increase the accuracy and reliability of positioning especially in some applications with many impediments.Due to the atmosphere delay,the commonly used methods for processing short distance baselines can not be implemented in long distance baselines.In this paper,a new data processing strategy for long distance baselines is proposed,which uses the properties of some combination observables of combined GPS/GLONASS and distance baselines may come to the order of 10 -8 and combined GPS/GLONASS improves the accuracy over that of GPS_only positioning,which brings benefit to crust deformation monitoring and research on geodynamics.展开更多
基金supported by Director Foundation of the Institute of Seismology,China Earthquake Administration(6110).
文摘Combining the observation data from five Multi-GNSS Experiment(MGEX)stations with the precise orbit and clock products from Global Positioning System(GPS)and BeiDou Navigation Satellite System(BDS),we studied the model of combined GPS/BDS precise point positioning,and then analyzed the convergence speed and short-time(6 h)positioning accuracy.The calculation results show that in static positioning,the average convergence time of GPS is about 50 min,and its horizontal accuracy is better than 2 cm while the vertical accuracy is better than 4 cm.The convergence speed of combined GPS/BDS is about 40 min,and its positioning accuracy is close to that of GPS.In kinematic positioning,the average convergence time of GPS is about 72 min,and its horizontal accuracy is better than 5 cm while the vertical accuracy is better than 12 cm.The average convergence time of GPS/BDS is about 57 min,and its horizontal accuracy is better than 3 cm while the vertical accuracy is better than 9 cm.Combined GPS/BDS has significantly improved the convergence speed,and its positioning accuracy is slightly than that of GPS.
文摘Combined GPS/GLONASS can increase the accuracy and reliability of positioning especially in some applications with many impediments.Due to the atmosphere delay,the commonly used methods for processing short distance baselines can not be implemented in long distance baselines.In this paper,a new data processing strategy for long distance baselines is proposed,which uses the properties of some combination observables of combined GPS/GLONASS and distance baselines may come to the order of 10 -8 and combined GPS/GLONASS improves the accuracy over that of GPS_only positioning,which brings benefit to crust deformation monitoring and research on geodynamics.