A comparison of Maximum Likelihood frequency offset estimation methods for OFDM systems

Abstract

Maximum likelihood (ML) estimation of the frequency offset between the transmitter and the receiver from known transmitted preambles is the dominant technique for the estimation of carrier frequency offset (CFO) in OFDM systems. A general formulation of ML detection problem for OFDM systems is provided in this paper and it is described how different ML techniques can be treated as special cases. In addition major newly proposed ML techniques are compared in a unified simulation framework in the presence of AWGN and their performance in terms of estimation range, and their complexity are compared.