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http://dx.doi.org/10.12673/jant.2020.24.6.533

Prediction of the IGS RTS Correction using Polynomial Model at IOD Changes  

Kim, Mingyu (School of Aerospace and Mechanical Engineering, Korea Aerospace University)
Kim, Jinho (School of Aerospace and Mechanical Engineering, Korea Aerospace University)
Kim, Jeongrae (School of Aerospace and Mechanical Engineering, Korea Aerospace University)
Publication Information
Journal of Advanced Navigation Technology / v.24, no.6, 2020 , pp. 533-539 More about this Journal
Abstract
Real-time service (RTS) provided by IGS provides correction for GNSS orbit and clock via internet, so it is widely used in fields that require real-time precise positioning. However, the RTS signal may be lost due to an unstable Internet environment. When signal disconnection occurs, signal prediction can be performed using polynomial models. However, the RTS changes rapidly after the GNSS navigation message issue of data (IOD) changes, so it is difficult to predict when signal loss occurs at that point. In this study, we proposed an algorithm to generate continuous RTS correction information by applying the difference in navigation trajectory according to IOD change. The use of this algorithm can improve the accuracy of RTS prediction at IOD changes. After performing optimization studies to improve RTS prediction performance, the predicted RTS trajectory information was applied to precision positioning (PPP). Compared to the conventional method, the position error is significantly reduced, and the error increase along with the signal loss interval increase is reduced.
Keywords
GNSS; GPS; RTS corrections; RTS prediction; Precise positioning;
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Times Cited By KSCI : 2  (Citation Analysis)
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