幅相误差下基于CMCAP-JDL的低空风切变风速估计

针对机载气象雷达存在幅相误差的情况下,导致杂波抑制性能下降,低空风切变风速估计结果不准确的问题,本文提出了一种基于组合空时主通道-局域联合空时自适应处理(Combined Space-time Main Channel A Adaptive Processing-Joint Domain Localized,CMCAP-JDL)低空风切变风速估计方法。该方法首先对雷达回波数据进行距离依赖性矫正及杂波协方差矩阵估计;然后对空域和时域加权,形成空域主波束和时域主通道,同时增加多个局域处理区域参与联合处理的方式来构造自适应降维处理器;最后使用权矢量对降维后的回波数据实现自适应滤波,完成幅相误差情况下风场速度的准确估计。仿真结果表明,该方法能够在幅相误差的情况下,实现低空风切变风速的准确估计。

The Estimation of Wind Speed in Low-altitude Wind-shear Based on CMCAP-JDL under the Amplitude and Phase Error

Aiming at the problem that the airborne radar has the amplitude and phase error, the clutter suppression performance is degraded and the low-altitude wind-shear wind speed estimation result is not accurate.This paper proposes a method based on combined space-time main channel joint domain localized space-time adaptive processing for low-altitude wind-shear wind speed estimation. The method firstly performs distance dependence correction and clutter covariance matrix estimation on radar echo data; then, the spatial main beam and the time domain main channel are deep weighted, Forming the airspace main beam and the time domain main channel, At the same time, multiple local processing areas are added to participate in joint processing to construct a dimensionality reduction adaptive processor. Finally, the adaptive weight vector is used to adaptively filter the echo data, and the wind field velocity is accurately estimated under the amplitude and phase error.The simulation results show that the method can accurately estimate the low wind wind shear wind speed,in the presence of amplitude and phase error.