TAF PUBLISHING

Global navigation satellite system (GNSS) ultra-fast orbit is an important parameter for near-real-time positioning, and its timeliness and accuracy are the key issues to be solved the phenomenon of reduced accuracy in the later stage of ultra-fast orbit observation an orbit refinement model based on orbit parameter accuracy of attenuation factor (DOP) is proposed. First, based on the orbit observation data information criterion is used to construct and optimize the DOP value prediction model; then, the DOP value is used as the independent variable to establish a function model between it and the orbit state parameters then the DOP with high precision prediction The value is substituted into the function model to realize the optimization of the orbit accuracy in the later period of observation. To verify the orbit refinement model, the observation data function and length model were analyzed separately. The results show that the orbit model refinement is optimal based on 1 d of observation data, and there is no clear difference between different function models. The multi-system ultra-fast orbit experiment based on continuous ten days shows that the refined model in the later stage of ultra-fast orbit observation can improve the orbit accuracy by 12.4%≈22.0%. Consequently, this model can perceive the refinement of the ultra-fast observation orbit, which is of great significance to improving the ultra-fast orbit of the analysis center.