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