Bayesian-Based Methods for Blind Carrier Frequency Offset Estimation in OFDMA Uplink

Abstract

Blind carrier frequency offset (CFO) estimation algorithms in orthogonal frequency division multiple access (OFDMA) systems have been developed in literatures recently. In [1], the blind estimation scheme has drawn a lot of attention, but the mismatch problem may occur, where the estimation error is out of range. In this work, we utilize the Markov chain Monte Carlo (MCMC) method based on a Bayesian approach as the estimator in order to provide the comparable performance, but mitigate the mismatch problem. Simulation results are presented to demonstrate the efficacy of the proposed algorithm.