基于DDD-GMB的低空风切变风速估计方法

当机载气象雷达在非均匀地杂波环境下探测低空风切变时，会遇到杂波协方差矩阵估计不准确问题，从而影响风速的正确估计。针对上述问题，本文提出一种在非均匀地杂波环境下基于直接数据域-广义相邻多波束（Direct data domin-Generalized adjacent multiple-beam，DDD-GMB）的低空风切变风速估计方法。首先，在非均匀地杂波环境下直接对待检测距离单元进行杂波协方差矩阵估计；然后利用空域相邻多波束和时域相邻多普勒通道构造空时降维处理器，在降低系统自由度的同时，也降低了对训练样本数的要求，最后构造代价函数估计得到风速。仿真结果表明，本文方法可以在非均匀地杂波环境下精确的估计风速。 

Low-altitude windshear wind speed estimation method based on DDD-GMB

When airborne weather radar detects low-altitude wind shear in a non-uniform clutter environment, it will encounter inaccurate estimation of clutter covariance matrix, which will affect the correct estimation of wind speed. Regarding the issue above, this paper proposed a low-altitude wind shear wind speed estimation method based on direct data domin-generalized adjacent multiple beam (DDD-GMB) in non-uniform clutter environment. Firstly, the clutter covariance matrix was directly evaluated by range unit to be detected in a non-uniform clutter environment; Then, the space-time adjacent multi-beam and the time-domain adjacent Doppler channel are used to construct the space-time dimensionality reduction processor, which reduces the system freedom and the requirement of the number of training samples. Finally, constructing cost function estimated the wind speed.The simulation results showed that the proposed method can accurately estimate the wind speed in a non-uniform clutter environment.