解卷积锐化算法在导引头前视成像中的应用  

Application of Deconvolution Sharpening Algorithm Based on Forward-Looking Imaging Method for Seeker

作　　者：吴一龙[1] 万红进[1] 刘辉[1] 磨国瑞[1] 

机构地区：[1]西安电子工程研究所,西安710100

出　　处：《火控雷达技术》2014年第1期42-45,共4页Fire Control Radar Technology

基　　金：装备预研基金重点项目(9140A31060113BQ36084)

摘　　要：传统的合成孔径雷达成像、多普勒波束锐化成像等方式虽然能有效地提高雷达的方位分辨率,但存在前视成像盲区。而传统的实波束成像角分辨率低,无法区分处于同一个波束内的两个目标。本文分析了单通道解卷积病态的原因,提出了改善方法.本文同时比较了该算法与常用的单脉冲测角算法的优劣。文章最后对实测数据的处理结果表明,解卷积算法对波束锐化有明显效果。Conventional imaging methods such as synthetic aperture radar （SAR）, Doppler beam sharpening （DBS） can effectively improve azimuth resolution, but there is a “blind region” in forward-looking imaging. The traditional real-beam imaging method can＇ t distinguish two objects in the same beam due to its low angular resolu- tion. Reason of morbid state in single-channel deconvolution is analyzed, and an improvement method to solve the problem is presented. Advantage and disadvantage of our algorithm and generally used mono-pulse method are compared. Result obtained from real data processing shows that the algorithm has significant effect on beam sharpening.

关 键 词：单脉冲 前视成像 解卷积 测角 

分 类 号：TN958[电子电信—信号与信息处理] TP301.6[电子电信—信息与通信工程]