基于正则化正交匹配追踪的SAR层析成像  

SAR tomography imaging based on regularized orthogonal matching pursuit

作　　者：闵锐[1] 杨倩倩[1] 皮亦鸣[1] 曹宗杰[1] 

机构地区：[1]电子科技大学电子工程学院,成都611731

出　　处：《电子测量与仪器学报》2012年第12期1069-1073,共5页Journal of Electronic Measurement and Instrumentation

基　　金：中央高校基金(ZYGX2009Z005)资助项目

摘　　要：压缩感知框架下的合成孔径雷达(SAR)层析成像技术引起了人们的关注。压缩感知理论能在实际系统中基线数量和分布稀疏的情况下实现高度向的高分辨率聚焦,这是基于谱分析的成像处理方法难以实现的。提出将正则化正交匹配追踪(ROMP)算法应用于SAR层析成像中,仿真实验结果表明该算法能高分辨率的成像,接着探讨了被测区域目标数目对成像精度的影响,结果表明随着目标数目的增加,成像的误差越大,这些对进一步的SAR层析成像研究具有重要的理论意义。Synthetic Aperture Radar（SAR） tomography imaging technology in the framework of Compressive Sensing（CS） has attracted people＇s attention.Under the situation of the limited number and uneven spacing of the base-lines,Compressive sensing theory can realize high resolution focusing of the elevation direction,it is unachievable to some of the existing methods（such as spectrum analysis method）.This paper applied the Regularization Orthogonal Matching Pursuit（ROMP） algorithm to the SAR tomography imaging.The simulation results show that this algorithm can achieve high resolution imaging.Next,we discussed that how the number of target makes an impact upon the reconstruc-tion accuracy with the simulation.Finally,the consequence indicates that the imaging error increases as the target number adding.This work could be significant to further research in this area.

关 键 词：合成孔径雷达 层析成像 压缩感知 正则化正交匹配追踪 

分 类 号：TN597.51[电子电信]