基于多通道联合自适应处理的微下击暴流中心风速估计方法

针对机载气象雷达下视探测微下击暴流时，有用气象信号会淹没在强杂波背景中的问题，该文提出一种基于多通道联合自适应处理的、能够用于分布式气象目标中心风速估计的降维处理器结构。该处理器通过前置的窄带多普勒滤波将全空时杂波局域化为特定多普勒通道下的定向有源干扰，然后在空域逐多普勒通道进行自适应处理，最后利用频率质心法求取中心风速估计。仿真结果表明，在强杂波背景下，所提方法可以获得较为精确风场速度估计结果，由于采用了降维结构，较最优处理器在运算量上有了明显减少。

Multiple Doppler Channels Joint Adaptive Processing Based Central Wind Speed Estimation for Microburst

When the airborne weather radar detects microburst field, the echoes of wind field are usually submerged by strong background clutter. In this paper, a novel method of wind speed estimation of microburst based on pre-filtering based reduced rank STAP approach is proposed. The method constructs reduced-rank adaptive processors for distributed meteorologic target to achieve clutter suppression and signal matching, and to obtain the wind speed of the microburst field. The experimental results show that the proposed method can achieve clutter suppression and get accurate wind speed estimation with low computational burden.