A Hybrid Autocorrelation-Based Single Frequency Estimator

For single tone complex signal estimator in the presence of additive white Gaussian noise, based on the autocorrelations, we proposes a statistically improved hybrid estimator that outperforms other recently proposed approaches at lower signal-to-noise ratio (SNR). The Cramér-Rao lower bound is closely followed at moderate SNR. The estimator is applicable to problems in applications requiring low SNR and limited frequency range.