Abstract:We select the data of 52 MGEX stations in the world for 7 consecutive days to statistically analyze the performance of two pseudorange inter-frequency bias (IFB) models in multi-system combined precise point positioning. The first IFB model estimates an IFB parameter for each GLONASS satellite, the second model uses a linear function of the frequency number to estimate the IFB parameter. The results show that the positioning accuracy of the two pseudorange IFB models in the three directions of E,N and U under static condition are equivalent, the accuracy of two models in E and U under dynamic condition are roughly the same. The positioning accuracy of the second model is 21% higher than that of the first model in the N direction. Under the same condition, the convergence speed of the two pseudorange IFB models are not much different and both can reach the specified accuracy. Since the first pseudorange IFB model needs to estimate more parameters and comprehensively consider the positioning accuracy and convergence time, it is recommended to use the second model for pseudorange IFB estimation when performing multi-system combined precise point positioning.