AN EFFICIENT 2-DIMENSIONAL FREQUENCY ESTIMATOR

The problem of two-dimensional frequency estimation of a sinusoid embedded in complex white Gaussian noise is addressed. A new frequency estimator and its statistical performance are derived. The estimator is demonstrated to be an efficient estimator (it achieves the Cramer-Rao bound) for high signal-to-noise ratios. Finally, the results of a computer simulator are presented which compare the variance with that of the maximum likelihood estimator, and the theoretical 2-D Cramer-Rao bound. © 1990 IEEE