Wind Speed Estimation of Low-Altitude Wind-Shear Based on Generalized Adjacent Multi-Beam Space-Time Adaptive Processing under Aircraft Yawing

Abstract

The paper presents a method of low-altitude wind-shear speed estimation based on Generalized Adjacent Multi-Beam (GMB) Space-Time Adaptive Processing under aircraft yawing. The proposed method first uses the clutter range-dependence compensation method based on echo data to correct the range dependence of clutter for estimating the clutter covariance matrix. Then the dimension-reduced transform matrix is calculated by simultaneously combining adjacent multiple beams in the airspace and adjacent multiple Doppler channels in time domain, 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 adaptively filter 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.