一种主瓣干扰下基于滑窗子阵的稀疏测角方法  

A sparse estimation method for radar target direction with sliding-window subarray configuration in mainlobe jamming

作　　者：周必雷 李荣锋 曾丽 陈辉[1] 刘维建[1] 李槟槟 ZHOU Bilei;LI Rongfeng;ZENG Li;CHEN Hui;LIU Weijian;LI Binbin(Air Force Early Warning Academy,Wuhan 430000,China;Aerospace Nanhu Electronic Information Technology Co.,Ltd.,Jingzhou 434000,China;School of Electronic Information,WuHan University,Wuhan 430000,China)

机构地区：[1]空军预警学院,武汉430000 [2]航天南湖电子信息技术股份有限公司,荆州434000 [3]武汉大学电子信息学院,武汉430000

出　　处：《北京航空航天大学学报》2023年第7期1623-1629,共7页Journal of Beijing University of Aeronautics and Astronautics

基　　金：国家自然科学基金(62001510)。

摘　　要：雷达抗主瓣干扰(MLJ)一直是雷达领域的难点问题,针对主瓣干扰环境下的雷达目标角度测量问题,提出一种主瓣干扰下基于滑窗子阵的稀疏测角方法,对各子阵进行自适应主瓣干扰抑制处理,并利用自适应后的子阵间相位关系构建角度原子库,采用正交匹配追踪(OMP)算法估计目标角度。当目标与干扰夹角为1/2个3 dB波束宽度时(目标输入信噪比为20 dB),目标角度估计误差小于1/10倍3 dB波束宽度,所提方法无需先验信息,可同时抑制主、副瓣干扰或多个主瓣干扰,并保证较高的目标测角精度。The suppression of mainlobe jamming(MLJ)is a hard task and an open problem in the radar field.This paper considers the problem of radar target direction estimation in MLJ.Hence,we propose a sparse estimation method for radar target direction with sliding-window subarray configuration in MLJ.MLJ is suppressed in each subarray with the proposed method,and the angle atom is constructed according to the phase relationship between the sliding-window subarrays.Finally,the target direction can be estimated with the orthogonal matching pursuit(OMP)algorithm.When the target input signal-to-noise ratio is 20 dB and the angle between the target and MLJ is 1/2 3 dB beam width,the target angle estimation error is smaller than 1/10 3 dB beam width.The accuracy of the angle estimation is well kept and the MLJ can be cancelled without any prior information.

关 键 词：主瓣干扰 滑窗子阵 稀疏恢复 抗干扰 雷达 

分 类 号：TN911.7[电子电信—通信与信息系统]