Mapping wind with high-frequency (HF) radar is still a challenge. The existing second-order spectrum based wind speed extraction method has the problems of short detection distances and low angular resolution for broad-beam HF radar. To solve these problems, we turn to the first-order Bragg spectrum power and propose a space recursion method to map surface wind. One month of radar and buoy data are processed to build a wind spreading function model and a first-order spectrum power model describing the relationship between the maximum of first-order spectrum power and wind speed in different sea states. Based on the theoretical propagation attenuation model, the propagation attenuation is calculated approximately by the wind speed in the previous range cell to compensate for the first-order spectrum in the current range-azimuth cell. By using the compensated first-order spectrum, the final wind speed is extracted in each cell. The first-order spectrum and wind spreading function models are tested using one month of buoy data, which illustrates the applicability of the two models. The final wind vector map demonstrates the potential of the method.

用高频（HF）雷达绘制风势仍然是一个挑战。现有的基于二阶频谱的风速提取方法存在着宽波束HF雷达的检测距离短，角分辨率低的问题。为了解决这些问题，我们转向一阶布拉格谱功率，并提出了一种空间递归方法来绘制表面风。处理一个月的雷达和浮标数据以建立风扩散函数模型和一阶频谱功率模型，该模型描述了不同海况下一阶频谱功率的最大值与风速之间的关系。基于理论传播衰减模型，传播衰减大约由前一个测距单元中的风速来计算，以补偿当前测距方位角单元中的一阶频谱。通过使用补偿的一阶频谱，最终风速在每个单元中被提取。使用一个月的浮标数据对一阶频谱和风扩散函数模型进行了测试，这说明了这两个模型的适用性。最终的风向图证明了该方法的潜力。