介质目标近场二维SAR微波成像电磁参数估计方法  被引量:1

Electromagnetic Parameter Estimation Method of Dielectric Objects Using 2-D Near-Field Microwave Imaging Algorithm Based on SAR

在线阅读下载全文

作  者:潘柳燕[1] 刘梅林[2] 曹群生[1] 周烨[1] PAN Liu-yan LIU Mei-lin CAO Qun-sheng ZHOU Ye(College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China Shanghai Institute of Satellite Engineering, Shanghai 200240, China)

机构地区:[1]南京航空航天大学电子信息工程学院,南京211106 [2]上海卫星工程研究所,上海200240

出  处:《微波学报》2016年第5期23-27,共5页Journal of Microwaves

基  金:上海市浦江人才计划(14PJ1433000);江苏省普通高校研究生科研创新基金(KYLX15_0286);江苏省普通高校研究生科研创新基金(KYLX15_0288)

摘  要:运用SAR成像原理对近场的金属介质目标进行毫米波成像研究,阐述了基于合成孔径雷达的二维微波成像算法原理,并详尽推导算法的计算方程。利用仿真软件获得的目标近场散射电场,采用成像算法进行逆散射微波成像。对实际生活中的常用有耗材质特氟龙进行成像仿真,成像效果良好,验证了成像算法的可行性。最终实现了多种介质目标的电磁参数的定量预估,并分析了影响目标成像效果的因素。通过预测值的仿真实验验证了SAR微波成像测定介质目标的电磁参数方法的正确性和可行性,为实际微波成像系统进行非金属材料的电磁参数测定提供了有价值的参考方法。The 2-D images of dielectric objects are generated using a SAR based near-field microwave imaging algorithm. The principle of 2-D SAR based near-field microwave imaging algorithm is illustrated clearly. The calculation equations of the algorithm are deduced in detail. The algorithm is used to carry out inverse scattering microwave image through the near-field scattered electric field which is obtained by the simulation software. The image of realistic lossy material Teflon is generated effectively,which verifies the feasibility of the imaging algorithm. Electromagnetic parameter of the dielectric bodies is estimated quantitatively. The main factors which influence the quantity of the image are analyzed. Electromagnetic parameter estimation simulations demonstrate the validity and feasibility of the proposed method,which provides a valuable reference approach to characterizing dielectric objects in realistic microwave imaging systems.

关 键 词:微波成像 电磁参数估计 SAR成像 近距离成像 

分 类 号:TN957.52[电子电信—信号与信息处理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象