基于实数遗传算法的二维导体目标微波成像  

Microwave Image Reconstruction of a Perfectly Conduction Cylinder by Real-Coded Genetic Algorithm

作　　者：钟选明[1] 廖成[1] 杨丹[1] 杨周炳[2] 孟凡宝[2] 

机构地区：[1]西南交通大学电磁场与微波技术研究所,四川成都610031 [2]中国工程物理研究院应用电子学研究所,四川绵阳621900

出　　处：《西南交通大学学报》2002年第6期689-692,共4页Journal of Southwest Jiaotong University

基　　金：国家自然科学基金项目(69971021)

摘　　要：讨论了自由空间中导体柱微波成像的实数遗传算法,导体柱的围线用有限项三角级数所逼近的形状函数来表示。散射问题用矩量法来模拟,逆散射问题转换成受限制的优化问题。以三角级数的系数为优化变量,通过尽量减小散射场幅度的测量值与计算值之间的相对误差来不断优化。并通过实例验证了此方法的优越性。A microwave imaging approach based on realcoded genetic algorithm for a perfectly conduction cylinder in free space is presented. The contour of the cylinder is expressed by a shape function which is approximated by trigonometric series. The scattering problem is simulated by pointmatching moment method; the inverse scattering problem is converted into a restrained optimization problem, that is, the coefficients of the trigonometric series are the variables to be optimized, and the optimization is made by minimizing the relative error between the measured amplitude of the scattered electricfield and the simulated one. The effectiveness of the image reconstruction method proposed in this paper is verified by an examples.

关 键 词：二维导体目标 微波成像 微波频率 电磁波散射 实数遗传算法 图像重建 

分 类 号：TN015[电子电信—物理电子学] O242.2[理学—计算数学]