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载机偏航下基于广义相邻多波束自适应处理的低空风切变风速估计

本站小编 Free考研考试/2022-01-03

李海,,
李怡静,
吴仁彪
中国民航大学天津市智能信号与图像处理重点实验室 ??天津 ??300300
基金项目:国家自然科学基金(61571442, 61471365, U1633106),中国民航大学蓝天青年****培养经费,中央高校基本科研业务费项目(3122017007)

详细信息
作者简介:李海:男,1976年生,教授,硕士生导师,研究方向为机载气象雷达信号处理、分布式目标检测与参数估计、动目标检测与参数估计等
李怡静:女,1994年生,硕士生,研究方向为机载气象雷达信号处理
吴仁彪:男,1966年生,教授,博士生导师,研究方向为空管和民航安全智能信息处理航空运输大数据、卫星导航抗干扰技术、民航无线电干扰监测与自适应抑制、通用航空、雷达信号处理等
通讯作者:李海 elisha1976@163.com
中图分类号:TN959.4

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文章访问数:1249
HTML全文浏览量:561
PDF下载量:30
被引次数:0
出版历程

收稿日期:2018-08-03
修回日期:2019-01-11
网络出版日期:2019-02-14
刊出日期:2019-07-01

Generalized Adjacent Multi-beam Adaptive Processing Based Low-altitude Wind-shear Wind Speed Estimation under Aircraft Yawing

Hai LI,,
Yijing LI,
Renbiao WU
Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
Funds:The National Natural Science Foundation of China (61571442, 61471365, U1633106), The Foundation for Sky Young Scholars of Civil Aviation University of China, The National University’s Basic Research Foundation of China (3122017007)


摘要
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。
关键词:机载气象雷达/
载机偏航/
低空风切变/
广义相邻多波束/
风速估计
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.
Key words:Airborne weather radar/
Aircraft yawing/
Low-altitude wind-shear/
Generalized adjacent Multi-Beam (GMB)/
Wind speed estimation



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