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作 者:李海[1] 刘志鑫 程伟杰 庄子波 范懿[1] LI Hai;LIU Zhixin;CHENG Weijie;ZHUANG Zibo;FAN Yi(Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China;College of Flight Technology, Civil Aviation University of China, Tianjin 300300, China)
机构地区:[1]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 [2]中国民航大学飞行技术学院,天津300300
出 处:《系统工程与电子技术》2020年第11期2481-2487,共7页Systems Engineering and Electronics
基 金:民机项目(MJ-2018-S-28);航空基金项目(20182067008);国家自然科学基金(U1433202,U1733116);中央高校基本科研业务费项目(3122018D008);中国民航大学蓝天教学名师培养经费资助课题。
摘 要:当机载气象雷达在海杂波背景下探测低空风切变时,海杂波信号会覆盖低空风切变信号,造成风速无法准确估计。针对上述问题,提出了一种在海杂波背景下基于多波束多级联(multi-beam multi-cascade,MBMC)的低空风切变风速估计方法。该方法首先利用空时插值算法矫正机载前视阵海杂波的距离依赖性,然后对空间多波束联合时域三次滑窗后的输出再级联多普勒滤波器,构造得到降维变换矩阵,执行空、时域联合自适应处理,最后通过构造代价函数估计得到风场速度。仿真结果表明,在海杂波背景下本文方法可以实现风场速度的准确估计,且具有较好的稳健性。When the airborne weather radar detects low-altitude wind shear under the background of sea clutter,the sea clutter signal will cover the low-altitude wind shear signal,making it impossible to accurately estimate the wind speed.In view of the above problems,a low-altitude wind shear wind speed estimation method is proposed based on multi-beam multi-cascade(MBMC)under the background of sea clutter.Firstly,This method uses the space-time interpolation algorithm to correct the distance dependence of the airborne forward-looking sea clutter,and then cascades the Doppler filter to the output of the adjacent multi-beam in the spatial domain joint sliding three times in the time domain,constructing a dimensionality reduction matrix,performing joint adaptive processing in space and time domains,and finally constructing a cost function to estimate the wind field velocity.The simulation results show that the proposed method can accurately estimate the wind speed under the background of sea clutter,and has good robustness.
分 类 号:TN959.4[电子电信—信号与信息处理]
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