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首页> 外文会议>IEEE International Conference on Signal Processing >Wind Speed Estimation of Low-Altitude Wind-Shear Based on Generalized Adjacent Multi-Beam Space-Time Adaptive Processing under Aircraft Yawing
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Wind Speed Estimation of Low-Altitude Wind-Shear Based on Generalized Adjacent Multi-Beam Space-Time Adaptive Processing under Aircraft Yawing

机译：基于偏航的广义相邻多波束时空自适应处理的低空风切变风速估计

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摘要

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.
机译：提出了一种基于偏航的广义相邻多波束空时自适应处理的低空风切变速度估计方法。该方法首先使用基于回波数据的杂波距离相关性补偿方法来校正杂波的距离相关性，以估计杂波协方差矩阵。然后通过同时合并空域中的相邻多个波束和时域中的相邻多个多普勒信道来计算降维变换矩阵，并减小测距范围仓的雷达回波数据的维数，然后将其的最佳权重矢量进行降维。 GMB自适应处理器被构造为对降维数据进行自适应滤波。最后，获得了飞机偏航下风速的准确估计。仿真结果表明，该方法可以有效地估计飞机偏航下的风速。

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