基于CMCAP的低空风切变风速估计方法

针对机载气象雷达在存在幅相误差影响时,杂波抑制性能下降,低空风切变风速估计不准确的问题,提出了基于组合空时主通道自适应处理(combined space-time main channel adaptive processing,CMCAP)的低空风切变风速估计方法。该方法首先对待测距离单元的雷达回波数据利用构造的降维联合空时变换矩阵进行自适应降维处理,然后构造降维处理器的最优权矢量对降维处理后的数据进行自适应滤波,进而在存在幅相误差的情况下实现风场速度的准确估计。后续仿真结果证明了所提方法的有效性。

Low-altitude wind-shear wind speed estimation based on CMCAP

Due to the presence of amplitude and phase errors in airborne weather radar, the performance of clutter suppression is reduced, and the estimation of low-altitude wind-shear wind speed is not accurate. Considering these problems, this paper presents a low-altitude wind-shear speed estimation method based on combined space-time main channel adaptive processing (CMCAP). This method first reduces the dimension of the radar echo data of the measured range unit by constructing a dimension reduced joint space-time transform matrix, and then constructs the optimal weight vector of the dimension reducing processor to adaptively filter the reduced-dimensional data. Furthermore, accurate estimation of the speed of the wind field is achieved in the presence of amplitude-phase error. Simulation results prove the effectiveness of the proposed method.