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.
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)
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
Microwave imaging
Electromagnetic inverse scattering
wk algorithm
Local shape functionmethod
Born iterative method
Contrast source inversion method
Particle swarm optimization method
InexactNewton method