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遗传算法应用于二维微波成像研究
引用本文:陈星,黄卡玛,赵翔.遗传算法应用于二维微波成像研究[J].四川大学学报(自然科学版),2002,39(2):261-263.
作者姓名:陈星  黄卡玛  赵翔
作者单位:四川大学电子信息学院,成都,610064
摘    要:微波成像在生物医学等诸多领域中具有独特优势和远大的应用前景。 但在成像反演计算中,描述微波散射的算子方程通常是复杂的非线性方程,求解十分困难,同时面临着病态方程求解、计算耗时过多等诸多难题。作者试用遗传算法完成成像计算中逆问题的求解。对二维微波成像问题的数值计算结果表明,遗传算法能够对介质目标的位置、形状和介电常数进行准确的成像,并具有较高的计算效率。

关 键 词:二维微波成像  遗传算法  生物医学成像  反演计算  电磁逆散射计算  电磁散射方程
文章编号:0490-6756(2002)02-0261-03

Application of a Genetic Algorithm on Two-Dimension Microwave Imaging
CHEN Xing,HUANG Ka-ma,ZHAO Xiang.Application of a Genetic Algorithm on Two-Dimension Microwave Imaging[J].Journal of Sichuan University (Natural Science Edition),2002,39(2):261-263.
Authors:CHEN Xing  HUANG Ka-ma  ZHAO Xiang
Abstract:Microwave imaging has many potential advantages in areas such as biomedical applications. But the equations we confront in the imaging calculations are usually complicated and ill-posed nonlinear equations, which is very difficult to be solved and cost too much time. The genetic algorithm (GA) is a numerical-optimization method. It is useful in solving optimization problems. The authors explored reconstructing two-dimensional dielectric objects from measurements of the field scattered and using a GA to solve its inverse problem. A numeric simulation is presented, which reconstructs the location, shape and dielectric permittivity of a two-dimension object. Its result shows a GA is able to obtain good image reconstruction correctly and efficiently.
Keywords:microwave imaging  genetic algorithm  two-dimension
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