Generalized Adjacent Multi-beam Adaptive Processing Based Low-altitude Wind-shear Wind Speed Estimation under Aircraft Yawing
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摘要: 该文提出一种载机偏航下基于广义相邻多波束(GMB)自适应处理的低空风切变风速估计的方法，该方法首先利用基于回波数据的杂波距离依赖性补偿方法对杂波进行距离依赖性矫正，估计出杂波协方差矩阵。然后同时组合空域的相邻多个波束与时域的相邻多个多普勒通道来计算降维变换矩阵，并对待测距离单元内的雷达回波数据进行降维处理，进而构造GMB自适应处理器的最优自适应权矢量对降维后的回波数据实现自适应滤波。最后完成载机偏航下风场速度的准确估计。仿真结果验证了该方法能够在载机偏航情况下，获得风场速度的有效估计。Abstract: This paper presents a method of low-altitude wind-shear speed estimation based on Generalized adjacent Multi-Beam (GMB) adaptive processing under aircraft yawing. The clutter range-dependence compensation method based on echo data is first used to correct the range dependence of clutter for estimating the clutter covariance matrix. Then the dimension-reduced transform matrix is calculated by combining adjacent multiple beams in the airspace and adjacent multiple Doppler channels in time domain simultaneously, and the radar echo data of the measured range bin is reduced in dimension, and then the optimal weight vector of the GMB adaptive processor is constructed to filter adaptively the dimension-reduced data. Finally, the accurate estimation of the wind speed under the aircraft yawing is got. The simulation results show that the proposed method can obtain an effective estimation of wind speed under aircraft yawing.
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