Abstract
The problem of adaptive parameter estimation for a single nonstationary noisy cisoid, where the sinusoidal frequency evolves according to Gaussian random walks, is studied. The lower bound on the minimum mean-square estimation error, which was derived by van Trees (1968), is evaluated for the problem. It is shown that two estimation methods attain this lower bound

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