| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 564242 | Signal Processing | 2012 | 8 Pages |
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.
► Our estimator is closer to CRB than several existing time-domain estimators. ► Our estimator is more computational efficient than two-stage autocorrelation method. ► Our estimator has a closed-form. ► A closed-form expression of the MSE of our estimator is derived.
