A fast and accurate single frequency estimator
نویسنده
چکیده
A new frequency estimator for a single complex sinusoid in complex white Gaussian noise is proposed. The estimator is more computationally efficient than the optimal maximum likelihood estimator yet attains as good performance at moderately high signal-tonoise ratios. Also, the estimator is shown to be related to the linear prediction estimator. This relationship is exploited to reveal why the linear prediction estimator does not attain the Cramer-Rao bound even at high signal-to-noise ratios.
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ورودعنوان ژورنال:
- IEEE Trans. Acoustics, Speech, and Signal Processing
دوره 37 شماره
صفحات -
تاریخ انتشار 1989