基于压缩感知的稀疏阵列近景微波三维成像  

Near range microwave 3D imaging of sparse array based on compressive sensing

作　　者：乞耀龙[1,2] 谭维贤[1] 江海[3] 王彦平[1] 洪文[1] 

机构地区：[1]中国科学院电子学研究所微波成像技术重点实验室,北京100190 [2]中国科学院研究生院,北京100149 [3]中国科学院国家天文台,北京100102

出　　处：《电子测量技术》2012年第5期66-72,共7页Electronic Measurement Technology

基　　金：国家自然科学基金青年科学基金(61002038);国家自然科学基金(61072112;60890070)

摘　　要：近景微波成像技术在隐藏武器检测、生物医学成像、无损检测等领域具有广阔的应用前景。将压缩感知理论应用于近景微波成像系统,提出了基于稀疏阵列天线的三维成像几何及相应的回波模型,该几何通过高度向的稀疏阵列电子扫描、方位向的机械扫描及距离向发射宽带信号来实现三维分辨;文中将压缩感知理论应用于稀疏阵列三维成像,提出了基于压缩感知的稀疏阵列层析成像算法;最后,通过理论分析和数值仿真验证了文中提出的成像几何和成像算法的有效性。Near range microwave imaging systems have broad application prospects in the field of concealed weapon detection,biomedical imaging,nondestructive testing,etc.By introducing the techniques of compressive sensing to near range microwave imaging systems,this paper proposes a near range three dimensional sparse imaging geometry based on sparse antenna array.In detail,the paper establishes three dimensional sparse imaging geometry and corresponding echo model,where the imaging geometry is formed by arranging sparse antenna array in elevation,scanning in azimuth and transmitting broadband signals in range direction;then,by applying compressive sensing to sparse array three dimensional imaging,the paper deduces the sparse topographic imaging algorithm;finally,the imaging geometry and corresponding imaging algorithm proposed in this paper are investigated and verified via theoretical analysis and numerical simulations.

关 键 词：压缩感知 近景微波三维成像 稀疏天线阵列 层析成像 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]