Blind Cfo Estimation for OFDM/OQAM Systems

In this paper we investigate the problem of blind carrier frequency offset (CFO) estimation in orthogonal frequency division multiplexing systems based on offset QAM. Specifically, by modeling the received signal as a complex Gaussian random vector and under the hypothesis of a non dispersive channel, we derive the unconditional maximum likelihood CFO estimator. Moreover, due to its computational complexity we consider, successively, the more feasible best linear unbiased estimator. The performance of the proposed algorithms is assessed via computer simulation and compared with that of recently proposed CFO estimators exploiting second order cyclostationarity