Abstract：Based on the dual frequency uncombined PPP model, ISB parameters are processed by constant, white noise and random walk models respectively. Static and simulated dynamic experiments are carried out by using 10 days data of 7 MGEX stations to analyze convergence time and positioning accuracy of 3 models. The results show that in terms of convergence time, the effect of the random walk and white noise models are the same, both of which are superior to the constant model; static and simulated dynamic methods increase by 15.4% and 29.4% respectively. In terms of positioning accuracy, the effect of the random walk model and white noise method are equivalent. Compared with constant method, the accuracy of E and U direction improve most obviously, increasing by about 77.7% and 32.2% in static state, and by about 66% and 43.5% in simulated dynamic positioning.
QI Wenlong,CHAI Hongzhou,YIN Xiao et al. The Influence of Different ISB Models on GPS/BDS/Galileo Precise Point Positioning[J]. jgg, 2020, 40(10): 1017-1021.
