Phase Noise Reduction and Tracking in OFDM Using Extended Kalman Filter

The performance of an OFDM system can be strongly degraded by the presence of random phase noise especially if a system design targets high data rates at high carrier frequencies. Phase noise affects the OFDM system by constellation rotation i.e. the common phase error (CPE) and causes inter carrier interference (ICI). In this paper we propose an algorithm for phase noise reduction using an extended Kalman filter (EKF) and compare its performance with maximum likelihood estimation (MLE). Simulation results for QAM and PSK show the effectiveness of the presented algorithm.