Comparison and analysis of GNSS signal tracking performance based on kalman filter and traditional loop

As Kalman filter technology has better performance for estimation and prediction of dynamic signal, it is gradually used in GNSS signal tracking. According to the steady-state error, transfer function and equivalent noise bandwidth of Kalman filter and traditional loop in steady status, the tracking performance of these two methods is compared in theory. The theoretical analysis demonstrates that, the dynamic stress error of Kalman filter tracking is less than traditional loop. Kalman filter method can track dynamic signal accurately with small equivalent noise bandwidth. The analysis results are verified by simulation, and the simulation results show that the tracking sensitivity of Kalman filter is similar to that of the traditional loop. The Kalman filter tracking method has higher dynamics performance and better accuracy.