Computer simulations are included in Section 3, which show that the mean square error (MSE) performance of NLS method can attain the optimum benchmark of the Cramer-Rao lower bound (CRLB) in the presence of white Gaussian disturbances and its superiority over the CLMS and ACLMS algorithms in frequency estimation is demonstrated.
Comparisons with the CLMS and ACLMS algorithms as well as the CRLB are also made.