ML-oriented DA sampling clock synchronization for OFDM systems

The paper describes an error feedback loop for performing the data-aided (DA) sampling clock synchronization in orthogonal frequency division multiplexing (OFDM) systems. The algorithm is derived from the joint maximum likelihood (ML) estimation of the sample timing and the carrier phase in the AWGN channel. It is shown that the sample timing estimation variance of the proposed algorithm is asymptotically equal to the Cramer-Rao bound (CRB).