Abstract In the traditional mode, kinematic precise point positioning (PPP) technique uses the kinematic sequential least squares algorithm to carry on the epoch recurrence solution. However, because of coordinate parameter’s temporal characteristics, the epoch is not inherited, which makes the kinematic PPP algorithm losea priori position information constraints. Aiming at this problem, this paper discusses a kinematic precise point position algorithm which takes real-time position prediction information into account. It uses prediction residual information to determine the adaptive factor of each coordinate component. We analyze the positioning accuracy and the correlation with the sampling interval. Finally, the numerical simulation results show that the proposed method effectively improves the accuracy of high-frequency dynamic data processing, which has application value for the monitoring of slow deformation.
DU Yuan,HUANG Guanwen,TU Rui et al. A Kinematic Precision Point Positioning Algorithm with Real-time Position Prediction Information[J]. jgg, 2018, 38(4): 394-398.
DU Yuan,HUANG Guanwen,TU Rui et al. A Kinematic Precision Point Positioning Algorithm with Real-time Position Prediction Information[J]. jgg, 2018, 38(4): 394-398.