Abstract
This work studies the problem of jointly estimating the carrier frequency offset (CFO) and sampling frequency offset (SFO) in orthogonal frequency-division multiplexing (OFDM) systems. Two scenarios are considered: known channel impulse response (CIR) and unknown CIR. It was shown in previous works that the exact joint maximum-likelihood estimate (MLE) of the CFO and the SFO requires a two-dimensional search. In this work, we present a new estimation method which uses the Taylor expansion of the MLE cost function, combined with the best linear unbiased estimator, to obtain an estimator which does not require such a search. Numerical simulations demonstrate that the new method approaches the corresponding Cramer-Rao bound for a wide range of signal-to-noise ratios, and have superior performance compared to all other existing methods for approximating the joint MLE solution, while maintaining a low computational complexity.
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