An Efficient Algorithm for Frequency Estimation of Sinusoid Signal Based on Improved Quinn

To balance the performance and complexity for frequency estimation of sinusoid wave using DFT-based methods, an efficient estimation algorithm based on improved Quinn is proposed. The amplitude and phase information are used to interpolate which ensures the accuracy of the frequency shift direction. A method of piecewise frequency shift is performed, and it has the characteristics of higher precision and lower computational costs. Simulation results show that the judgment of direction factor is more correct using Quinn, the Root Mean Square Error (RMSE) of this method is closer to Cramer-Rao Lower Bound (CRLB) under the conditions of different frequencies and SNRs comparing with Quinn and other improved algorithms, and it can attain remarkable decrease of computational cost which facilitates the algorithm implementation.