Résumé: We consider the problem of estimating the frequency offset between transmitter and receiver in flat-fading communication channels using a training sequence. In [1] and [2], two frequency estimators were proposed to solve the aforementioned problem. They rely on weighted linear regression for the phases of the correlation sequence [1] or their differences [2]. The method in [1] needs phase unwrapping and both methods require knowledge of the correlation of the fading process. In this letter, two simple methods which do not require any of these assumptions are proposed. The first is the unweighted version of the method of [2]. The second is drawn from the array processing framework. It is based on a nonlinear least-squares approach that assumes an unstructured correlation of the fading process. The performance of the proposed methods is as good as that of the methods in [1] and [2], but the robustness of our methods to modeling errors is much enhanced.

Langue: Anglais