Abstract With the modernisation of GPS and the development of GALILEO/BDS, more satellites can transmit multi-frequency signals, which brings new opportunities and challenges for data integration in multiple systems. This… Click to show full abstract
Abstract With the modernisation of GPS and the development of GALILEO/BDS, more satellites can transmit multi-frequency signals, which brings new opportunities and challenges for data integration in multiple systems. This work focuses on the performance of triple-frequency precise point positioning (PPP) and the phase anomaly phenomenon due to the introduction of the third frequency. First, three PPP models, particularly the triple-frequency PPP model using uncombined observations, are derived. The new biases, inter-frequency biases (IFBs), are estimated to compensate for the pseudorange hardware delays in the triple-frequency PPP model. Then the reason for the phase anomaly on the third frequency is analysed theoretically. Finally, three PPP models with real GPS/GALILEO/BDS triple-frequency data are performed to evaluate the performance of triple-frequency PPP and the influence of time-variant phase hardware delays. Due to the smaller magnitude of the time-dependent phase hardware delays for GALILEO and BDS, even regardless of them, the triple-frequency PPP model can achieve a similar or better positioning accuracy. However, this is not the case for GPS. The results show that the traditional clock products based on dual-frequency ionosphere-free (IF) combinations cannot be directly used in the GPS triple-frequency PPP because of the time-dependent part of the phase hardware delays. Ignoring the time-dependent part will cause a much poorer positioning performance compared with dual-frequency PPP. After adding a small amount of process noise to the GPS ambiguities on the third frequency, the 3D positioning accuracy of the GPS/GALILEO/BDS triple PPP model can achieve marginal improvement for both static and kinematic mode.
               
Click one of the above tabs to view related content.