Estimating GPS inter-frequency clock bias to provide a parameterized product.

To streamline the data processing workflow, reduce processing time, ensure the timeliness of GPS satellite inter-frequency clock bias (IFCB) services, and facilitate data delivery, a new method is presented. This method directly estimates the IFCB model coefficients from observations. It has been validated using GPS data collected from 107 triple-frequency IGS observation stations and corresponding processing results. The estimated GPS satellite IFCBs obtained through two methods were investigated: (1) the epoch-wise estimation method, (2) the proposed model coefficients estimation method. The results show that the IFCB values computed with the proposed method are equivalent to those of the other method. As a final product, it is provided only in the form of model coefficients, which can significantly save storage space. Using the parameterized estimation IFCB product for triple-frequency precise point positioning (PPP) in static positioning shortens the convergence time by 24.8% compared to the uncorrected scheme, and slightly outperforms the epoch-wise estimation method by 1.8%. For real-time applications, the presented estimation method skips the fitting step, making it easy to broadcast to users and convenient for extrapolation. This also saves processing time, which is crucial for the timely delivery of the IFCB real-time service, thereby enhancing service accuracy. The real-time static and kinematic PPP positioning results demonstrate that the presented method achieves satisfactory accuracy and convergence performance compared to corrections based on epoch-wise IFCB values and their fitted counterparts, further confirming its effectiveness. [ABSTRACT FROM AUTHOR]