摘要： Knowledge of the vertical spatio-temporal distribution of the wind speed and direction is essential for optimizing the performance of adaptive optics systems. An extension of SLODAR (slope detection and ranging) can be used for wind profiling by tracking the time-delayed cross-correlation peaks obtained from the slope of the Shack–Hartmann wavefront sensor. This wind-profiling method works well in situations where the cross-correlation peaks can be individualized, but in many cases the isolated cross-correlation peaks for each turbulent layer are difficult to find in the 2D cross-correlation maps, which can result in difficulties when estimating the wind profiles. To address this problem, we propose a method to measure the wind speed and direction of each layer. The method distinguishes isolated peaks more easily and is valid for multiple peaks, even for a weak response. Instead of tracking peaks in 2D cross-correlation maps, the proposed method traces a series of cross-correlation peaks in the curves of 1D slices through the maps from different directions, and finally determines the wind speed and direction according to the frozen-flow hypothesis. This method is verified with simulations, in which the input wind profiles are recovered accurately. Furthermore, this method is applied to 47 data sequences from the 1-m New Vacuum Solar Telescope at Fuxian Solar Observatory. The wind profiles are estimated from the ground up to 12 km, and the experimental results show that all layers move with a relatively low speed.