基于调频步进信号的高分辨率分块稀疏成像技术研究  

A Study on High Resolution Block Sparse Imaging Based on LFM and Stepped-frequency Signal

作　　者：陈鹏 吴剑 张锐[1] 刘兆鹏 程忠健 CHEN Peng;WU Jian;ZHANG Rui;LIU Zhaopeng;CHENG Zhongjian(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China;Jiuquan Satellite Launch Center,Jiuquan 732750,China)

机构地区：[1]南京电子技术研究所,南京210039 [2]酒泉卫星发射中心,甘肃酒泉732750

出　　处：《现代雷达》2022年第8期69-74,共6页Modern Radar

摘　　要：针对调频步进信号的传统高分辨一维距离成像算法存在非最强散射点幅度损失、耦合时移和波形展宽等问题,提出了一种基于超完备基和分块稀疏的稀疏成像处理模型,并根据该模型在利用分块正交匹配追踪和分块迭代软阈值算法优化求解时的可稀疏性,实现了调频步进信号的高分辨率分块稀疏成像。仿真结果表明:相对传统成像算法,稀疏成像算法在应对多目标场景和运动目标场景时性能改善明显。Based on linear frequency modulation(LFM)and stepped-frequency signal,traditional method to obtain the high resolution range profile will bring the problems of weaken scatters′amplitude loss,range-Doppler time shift,and mainlobe broadening,thus a sparase signal processing model based on overcomplete and block sparse is indicated,then its sparse properties by using block orthogonal matching pursuit and block iterative soft thresholding algorithm are proved to realize high resolution block sparse imaging based on LFM and stepped-frequency signal.Simulation results show that compared with traditional methods,sparse imaging algorithm has better performance for the scenarios of multi-target and moving targets.

关 键 词：高分辨一维距离像 稀疏成像 分块正交匹配追踪 分块迭代软阈值算法 

分 类 号：TN957.51[电子电信—信号与信息处理]