Simple, effective estimation of frequency based on Prony's method
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 05
Improved Variant of Pisarenko Harmonic Decomposition for Single Sinusoidal Frequency Estimation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
An estimation-range extended autocorrelation-based frequency estimator
EURASIP Journal on Advances in Signal Processing
Modified Pisarenko Harmonic Decomposition for Single-Tone Frequency Estimation
IEEE Transactions on Signal Processing - Part II
IEEE Transactions on Signal Processing
Iterative frequency estimation by interpolation on Fourier coefficients
IEEE Transactions on Signal Processing
Estimating frequency by interpolation using Fourier coefficients
IEEE Transactions on Signal Processing
Reformulation of Pisarenko harmonic decomposition method for single-tone frequency estimation
IEEE Transactions on Signal Processing
Single tone parameter estimation from discrete-time observations
IEEE Transactions on Information Theory
Computationally Efficient Single-Frequency Estimation Scheme in High-Rate WPAN Systems
Wireless Personal Communications: An International Journal
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A closed-form expanded autocorrelation method for real single-tone frequency estimation is proposed. Firstly, the modified covariance (MC) method based on multiple autocorrelation lags is applied to provide a coarse frequency estimate. Then, a closed-form adjustment term based on a least square cost function is derived to get the fine frequency estimate. Simulation results show that the performance of the proposed algorithm, when compared with several existing closed-form time-domain estimators, is closer to the Cramer-Rao bound (CRB). Moreover, the proposed method has lower computation complexity than other autocorrelation-based approaches, which also use multiple autocorrelation lags.