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压缩感知SAR成像方法及抗相干干扰性分析
引用本文:朱 丰,张 群,顾福飞,李开明,毕 博,张晓曦.压缩感知SAR成像方法及抗相干干扰性分析[J].现代雷达,2012,34(8):20-28.
作者姓名:朱 丰  张 群  顾福飞  李开明  毕 博  张晓曦
作者单位:1. 空军工程大学电讯工程学院, 西安710077;中国人民解放军93508部队, 北京100075
2. 空军工程大学电讯工程学院,西安,710077
3. 空军军训器材研究所,北京,100195
4. 中国人民解放军后勤学院,北京,100858
基金项目:国家重点基础研究发展计划(973计划)项目
摘    要:对合成孔径雷达(SAR)的干扰与抗干扰技术,目前已受到广泛的关注和研究。文中在分析了传统SAR成像及其相干干扰原理的基础上,利用压缩感知理论,探讨了一种压缩感知SAR成像方法,并分析了其抗相干干扰性。该方法通过构造满足RIP性质的观测矩阵和稀疏变换矩阵,在假设场景目标稀疏的条件下,准确重构出场景目标高分辨像,克服了由于SAR系统收到回波信号的脉内频率和脉间相位关系被破坏而无法利用传统二维匹配滤波成像方法获得准确场景目标高分辨像的问题,具有很好的抗相干干扰特性。最后给出了相关的仿真实验结果。

关 键 词:合成孔径雷达成像  场景目标高分辨像  抗相干干扰性  压缩感知  观测矩阵  稀疏变换矩阵

Compressed Sensing SAR Imaging Method and Analysis of Its Anti Coherent Jamming Character
ZHU Feng,ZHANG Qun,GU Fu-fei,LI Kai-ming,BI Bo and ZHANG Xiao-xi.Compressed Sensing SAR Imaging Method and Analysis of Its Anti Coherent Jamming Character[J].Modern Radar,2012,34(8):20-28.
Authors:ZHU Feng  ZHANG Qun  GU Fu-fei  LI Kai-ming  BI Bo and ZHANG Xiao-xi
Affiliation:1.Telecommunication Engineering Institute,Air Force Engineering University,Xi′an 710077,China)(2.No.93508 Unit of PLA,Beijing 100075,China)(3.Air Force Training Equipment Institute,Beijing 100195,China)(4.Logistics Academy of the CPLA,Beijing 100858,China)
Abstract:Nowadays, the researches on jamming and anti-jamming technology for SAR are popular. In this paper, on the basis of analysis of SAR imaging theory and the coherent jamming theory against SAR, a Compressed Sensing SAR imaging method is discussed and its anti coherent jamming character is analyzed. In the method, the measurement matrix and the sparse transform matrix which satisfy RIP are designed. On the condition of sparse scene target is supposed, the high-resolution image of scene target is reconstructed exactly by using the Compressed Sensing SAR imaging method to realize the anti-jamming. Thus the problem of the effective image of scene target can not be obtained by using the traditional two dimension match filter because the relations of the frequency in a pulse and the phase in different pulses which are from the echoes are destroyed is come over. The related simulation results are shown in the last.
Keywords:SAR imaging  high-resolution image of scene target  anti coherent jamming character  compressed sensing  measurement matrix  sparsity transform matrix
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