An Improved Tracking Algorithm for Reducing the Effects of Ionospheric Scintillation

Ionospheric scintillation causes vibrations in signal amplitude and phase, resulting in signal cycle slippage and loss of lock, posing a significant challenge to the accurate tracking of GPS signals and seriously affecting the accuracy of navigation and positioning. To ensure robust and long-lasting signal tracking despite ionospheric scintillation, an improved Sage-Husa adaptive Kalman filtering algorithm is proposed. Based on the Cornell model, the improved algorithm is compared with the traditional 2nd-Order phase-locked loop and Kalman filtering methods. The simulation experiment results show that the standard deviation of the carrier phase error of the proposed improved algorithm is 13.11%-16.98% of the traditional algorithms. The proposed algorithm is able to track the signal stably for a long time when ionospheric scintillation occurs and is of great significance for the design of GNSS receivers under the influence of ionospheric scintillation.