Robust Carrier Tracking Approach for High Dynamic GNSS Signals based on Gaussian Particle Filtering

For high dynamic applications of GNSS receivers, the tracking sensitivity is heavily affected by the large unpredictable motion dynamics. The stability of the traditional tracking approaches is poor when outlier occurs among observations. In this paper, a novel Gaussian Particle Filtering-based carrier tracking algorithm is proposed for high dynamic GNSS signals. The proposed algorithm can work stable when the received signal is weak. To deal with the outliers in the observations, a robust carrier tracking algorithm based on Gaussian Particle Filtering is also proposed. Finally, the performance of the proposed algorithms is evaluated by simulation, compared with two typical approaches.