In pulse coherent lidar wind measurement, the widely used FFT algorithm is simple and fast, but the range resolution of wind measurement is difficult to further improve. Time-frequency analysis methods such as continuous wavelet transform (CWT) have fine time-frequency analysis capabilities, but the calculation The real-time performance is poor. This paper proposes a fusion algorithm that combines the advantages of FFT and fast continuous wavelet transform (fCWT). The algorithm inherits the fine analysis capabilities of CWT, and the computing speed is significantly accelerated. By comparing the radar wind measurement simulation data and actual measured data with the fusion algorithm, CWT, and FFT algorithms, the wind speed curves drawn by the fusion algorithm and the CWT and FFT algorithms have the same trend, but have richer details, and the calculation time of the fusion algorithm is reduced compared to the CWT algorithm. more than 45%. This fusion algorithm provides a new idea for improving the wind measurement performance of pulse coherent laser wind measurement radar.