Title :
A fast and accurate single frequency estimator
Author_Institution :
Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
fDate :
12/1/1989 12:00:00 AM
Abstract :
A novel frequency estimator for a single complex sinusoid in complex white Gaussian noise is proposed. The estimator is more computationally efficient that the optimal maximum-likelihood estimator yet attains equally good performance at moderately high signal-to-noise ratios. The estimator is shown to be related to the linear prediction estimator. This relationship is used to reveal why the linear prediction estimator does not attain the Cramer-Rao bound even at high signal-to-noise ratios
Keywords :
filtering and prediction theory; random noise; Cramer-Rao bound; complex white Gaussian noise; linear prediction estimator; maximum-likelihood estimator; prediction theory; single frequency estimator; Frequency estimation; Gaussian noise; Gaussian processes; High performance computing; Least squares approximation; Maximum likelihood estimation; Phase estimation; Random variables; Signal processing; Signal to noise ratio;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
