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An efficient estimator for OFDM integer frequency offset synchronization

An efficient estimator for integer frequency offset estimation of OFDM systems is derived, which is based on maximum likelihood (ML) technique and exploits the differential information between two consecutive blocks of OFDM data symbols in frequency domain. The reason why the proposed ML estimator has better performance than the conventional method is analyzed. How to select the differential sequence is also studied. By computer simulations, the effects of the various parameters such as length of cyclic prefix, value of integer frequency offset and differential PN sequence on the performances of the two estimators are evaluated, and the performance of the ML estimator is compared with that of the conventional method for the additive white Gaussian noise (AWGN) channel and a multipath fading channel. The simulation results are in good agreement with the analytical study.