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基于混合粒子群算法的二维导体柱目标识别
引用本文:黄信,陶华,钟卫军.基于混合粒子群算法的二维导体柱目标识别[J].计算机工程与应用,2010,46(6):201-203.
作者姓名:黄信  陶华  钟卫军
作者单位:1. 西北工业大学,中法虚拟设计与制造技术联合研究室,西安,710072
2. 空军工程大学,西安,713800
摘    要:从电磁场的积分方程出发,采用矩量法(MOM)计算导体柱电磁散射的过程;以实际测量的散射场与计算散射场的偏差程度作为目标函数;将带优化变量设置为描述导体柱轮廓的形状函数的傅里叶展开式系数,通过混合粒子群算法(HPSO)对带优化变量进行优化,使目标函数的最小值用来进行电磁成像。仿真结果表明:HPSO简单、通用,具有较强的抗随机噪声干扰的能力。

关 键 词:矩量法  混合粒子群算法  电磁成像
收稿时间:2008-8-29
修稿时间:2008-11-10  

Target identification of two-dimensional conducting targets based on HPSO
HUANG Xin,TAO Hua,ZHONG Wei-jun.Target identification of two-dimensional conducting targets based on HPSO[J].Computer Engineering and Applications,2010,46(6):201-203.
Authors:HUANG Xin  TAO Hua  ZHONG Wei-jun
Affiliation:1.Sino-French Common Research Group Virtual Prototyping for Design and Fabrication,Northwestern Polytechnical University,Xi'an 710072, China; 2.Air Force Engineering University,Xi'an 713800, China)
Abstract:A numerical method of the reconstruction of conductor cylinders is presented.The forward scattering problem is ana- lyzed by using the method of moment.The error between measured scattering data and computed scattering data is considered as the objective function.The contour of each conducting object is denoted by a shape function which is approximated by a Fourier series.The inverse scattering problem is transferred into an optimization problem by minimizing the objective function with the co- efficients o...
Keywords:method of moment  hybrid particle swarm optimization  electromagnetic imaging
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