An adaptive algorithm is proposed for time delay estimation between sinusoidal signals received at two s p atially separated sensors. The idea is to model the differential delay b y an FIR lter whose coe cients are samples of a sine function. The delay estimate is updated directly on a sample-by-sample basis using the least mean square method and its convergence behavior and mean square delay error are analyzed. The delay estimation performance of the algorithm can be further improved when the

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... ignal and noise powers are available. Computer simulations are presented to validate the theoretical derivations of the proposed estimator for static and linearly varying delays.