基于约束独立分量分析的雷达抗主瓣干扰方法  

A Method of Radar Mainlobe Jamming Suppression Based on Constraint ICA

作　　者：董玮[1] 李小波[1] 黄超[1] 孙琳[1] 夏杰[1] 

机构地区：[1]解放军电子工程学院,安徽合肥230037

出　　处：《探测与控制学报》2016年第5期101-106,共6页Journal of Detection & Control

基　　金：国家自然科学基金项目资助(11375263)

摘　　要：针对雷达受到主瓣压制干扰时,无法有效对目标回波信号进行检测的问题,提出了基于约束独立分量分析(ICA)算法的雷达抗主瓣干扰方法。该方法首先根据雷达发射信号已知的特点,构建了以发射信号为参考信号的接近性量度函数,进而建立了基于约束ICA算法的雷达抗主瓣干扰模型,在此基础上提出了更贴近现实的含噪约束ICA算法,最后提取目标回波信号进行匹配滤波实现峰值检测,达到抗干扰效果。理论分析和仿真实验表明,本算法在强噪声干扰背景下能够有效提取目标回波信号达到抗主瓣干扰的效果,且算法复杂度较低,分离效率优势明显。A suppression method is presented by constraint ICA under the circumstance of radar mianlobe jam-ming,which causes detection failure. At first,the model of mainlobe jamming suppression based on constraint ICA is given and proved under the launch signal,which acts as reference signal.It separates the mixed signal and finds target echo signal after matched filtering,which finally acheives jamming suppression effect. Theoretical a-nalysis and computer simulation results demonstrates that the proposed method has a good performance of inter-ference suppression effect by extraction the target echo signal under the background of strong noise interference and evident superiority in separation efficiency.

关 键 词：抗主瓣干扰 约束ICA 盲源分离 匹配滤波 

分 类 号：TN974[电子电信—信号与信息处理]