Randomized trial demonstrates improved tracking and convergence stability in GNSS applications, indicating significant advancements for real-time navigation.
Key Points
Develop a high-accuracy tracking algorithm for Galileo signals that improves convergence and robustness while maintaining low computational complexity.
Introduced a two-phase tracking loop within an open-source SDR framework.
Utilized parallel code phase search for efficient acquisition and combined Delay-locked loop with phase-locked loop techniques.
Implemented a circular correlation method for acquisition and a Kalman-like approach for tracking improvement.
Achieved 53–62% reductions in position RMSE.
Over 50% faster convergence noted in comparison to conventional models.
14% increase in carrier-to-noise density ratio and a mean PDOP of 2.87 supporting tracking robustness.