基于最优极化空时自适应处理的低空风切变风速估计方法

A Wind Speed Estimation Method for Low-Altitude Wind Shear Based on Optimal Polarization Space-Time Adaptive Processing

针对机载双极化相控阵气象雷达的低空风切变风速估计问题,本文提出了一种基于最优极化空时自适应处理(Polarization Space-Time Adaptive Processing,PSTAP)的低空风切变风速估计方法。本方法首先利用最大似然估计出适用于低空风切变这类分布式目标的极化空时导向矢量,其次通过构造PSTAP处理器最优权矢量对回波信号进行杂波抑制的同时积累风切变目标信号,最后精确估计出低空风切变的风速。仿真结果证明所提方法可以有效地实现杂波抑制并精确估计低空风切变的风速。

To estimate the wind speed of low-altitude wind shear using airborne dual-polarization phased array meteorological radar,a wind speed estimation method based on optimal polarization space-time adaptive processing(PSTAP)is proposed in this paper.Firstly,the polarized space-time steering vector suitable for distributed targets such as low-altitude wind shear is estimated using maximum likelihood estimation(MLE).Secondly,the optimal weight vector of the PSTAP processor is constructed to suppress the clutter in received signals and accumulate the wind shear target signals.Finally,the wind speed of low-altitude wind shear is accurately estimated.The simulation results show that the proposed method can effectively suppress the clutter and accurately estimate the wind speed of low-altitude wind shear.