Kalman Filtering applied to Timing Recovery in Tracking Mode

This paper investigates the performance of the Kalman filter as a timing recovery system in tracking mode, subject to a wide range of operating conditions. Our simulation compares the Kalman filter and the phase-locked loop based on the number of divergences for various values of timing disturbance and SNR. They are shown to work equally well in low SNR and disturbance. However, the Kalman filter outperforms the phase-locked loop when both SNR and disturbance are high. The simulation also suggests that the Kalman filter is more robust to variations in operating conditions.