Abstract
The problem of two-dimensional frequency estimation of a sinusoid embedded in complex white Gaussian noise is addressed. A 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. The results of a computer simulator which compares the variance with that of the maximum likelihood estimator and the theoretical two-dimensional Cramer-Rao bound are presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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More From: IEEE Transactions on Acoustics, Speech, and Signal Processing
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