On-line Bayesian CraméR-Rao bound for oversampled dynamical phase offset estimation

In this paper, we present a closed-form expression of a Bayesian Cramer-Rao lower bound for the estimation of a dynamical carrier phase offset. This bound is derived in an online oversampled scenario. Our numerical results show that using the oversampled signal for estimating the phase offset we can obtain better performances than using a classical synchronizer.