An Improved DFT Frequency Offset Estimation Algorithm With High Accuracy

Aiming at the problem that the accuracy of high frequency offset estimation is generally not high, this paper introduces the main current frequency offset estimation algorithm and proposes an improved DFT frequency offset estimation algorithm. Combining the basic thought of Zoom-FFT, the defects and deficiencies of the specific implementation of Candan algorithm are improved, and the problem of limited estimation range of Candan algorithm is solved. The simulation results show that the accuracy of the algorithm is greatly improved and the anti-noise performance is obviously improved. Although the process of refinement frequency and resampling makes the calculation amount of the algorithm increase, the engineering implementation is still acceptable. The performance of this algorithm is better than some DFT algorithms, which provides more accurate recognition conditions for the next step of signal research.