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GPS inter-frequency clock bias modeling and prediction for real-time precise point positioning

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Abstract

To ensure the consistent use of the current GPS precise satellite clock products, the inter-frequency clock bias (IFCB) should be carefully considered for triple-frequency precise point positioning (PPP). It is beneficial to investigate the modeling of the IFCB for multi-frequency PPP, especially for real-time users suffering from difficulties in real-time IFCB estimations. Our analysis is based on datasets from 129 stations spanning a whole year. A harmonic analysis is performed for all single-day IFCB time series, and periodic IFCB variations with periods of 12, 8, 6, 4.8, 4 and 3 h are identified. An empirical model composed of a sixth-order harmonic function and a linear function is presented to describe daily variations in the IFCB, and the modeling accuracy is 4 mm. A least squares fit is adopted to estimate the single-day harmonic coefficients phase and amplitude. The prediction accuracy of the IFCB models degrades from 7.2 to 12.3 mm when the time span of prediction is increased from a day to a week. When using IFCB models of the previous day to obtain the IFCB correction values, the positioning accuracy of triple-frequency PPP is improved by 21, 11 and 16% over the triple-frequency PPP neglecting the IFCB in the post-processing mode in the east, north and up directions, respectively. As to the real-time triple-frequency PPP, the corresponding accuracy improvement is 24, 9 and 10% in the three directions, respectively.

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Acknowledgements

The financial support from the National Natural Science Foundation of China (Grant nos. 41474025 and 41774034) is greatly appreciated.

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Correspondence to Xiaohong Zhang.

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Pan, L., Zhang, X., Li, X. et al. GPS inter-frequency clock bias modeling and prediction for real-time precise point positioning. GPS Solut 22, 76 (2018). https://doi.org/10.1007/s10291-018-0741-y

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  • DOI: https://doi.org/10.1007/s10291-018-0741-y

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