微波成像技术及其算法综述  

Overview of the Technology and Algorithm of Microwave Imaging

作　　者：许会[1] 陈艳玲[1] 

机构地区：[1]沈阳工业大学先进在线检测技术省重点实验室,沈阳110870

出　　处：《无损检测》2012年第10期67-71,82,共6页Nondestructive Testing

基　　金：辽宁省教育厅创新团队资助项目(2009T074)

摘　　要：介绍了微波成像技术的特点和优势,同时对微波成像的现存算法进行了总结概述,着重介绍了几种具有代表性的重构算法,如ω-k算法、局部形状函数算法、波恩近似算法、对比源算法、粒子群优化算法和非精确牛顿算法。文章通过对几种电磁逆散射算法进行比较,给出不同算法各自的原理、特点及使用范围,并对电磁逆散射算法的发展趋势做了展望。The properties and advantages of microwave imaging problem, especially the technology and algorithms of imaging in electromagnetic field were introduced in this work, and a summarized overview for the existing inverse algorithms was given. Several representative microwave imaging reconstruction algorithms were presented, including wk algorithm, local shape function method, Born iterative method, contrast source inversion method, particle swarm optimization and the inexact Newton method. Different algorithm were compared, in order to give their principle, characteristics and range of use. The development trend of microwave imaging algorithm was presented.

关 键 词：微波成像 电磁逆散射 ω-k算法 局部形状函数算法 波恩近似算法 对比源算法 粒子群优化算法 非精确牛顿算法 

分 类 号：TG115.28[金属学及工艺—物理冶金]