介质目标近场二维SAR微波成像电磁参数估计方法

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。

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

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.