基于改进型PSO算法的多频微带天线优化  

Optimization of multiband microstrip antenna based on improved PSO algorithm

作　　者：向欣 张莉[1] 陈笛 蒋昊[1] 王光燿 赵鑫茹 XIANG Xin;ZHANG Li;CHEN Di;JIANG Hao;WANG Guangyao;ZHAO Xinru(School of Information and Communication Engineering,Communication University of China,Beijing100024,China)

机构地区：[1]中国传媒大学信息与通信工程学院,北京100024

出　　处：《中国传媒大学学报（自然科学版）》2021年第4期40-46,共7页Journal of Communication University of China：Science and Technology

基　　金：2020国家级大学生创新创业训练项目GJ2020073。

摘　　要：为高效实现微带天线的多频工作性能,本文提出了一种改进型小波变异鲶鱼粒子群优化(Improved Catfish Particle Swarm Optimization with Wavelet Mutation,ICPSOWM)算法对微带天线的贴片和底面的结构参数进行优化。该算法在传统粒子群优化算法的基础上融合混沌序列、鲶鱼粒子群优化算法、小波变异的优点,创新性地对全局最差解加以利用,使得其收敛速度和精度得到显著提升。通过三个基准测试函数比较验证,表明该算法在单峰和多峰问题上都表现出较佳的性能。最后,在ICPSOWM算法中加入重复位置检测单元后,成功优化出可工作于WLAN(2.4、5.2和5.6GHz)和WiMAX(3.5GHz)系统的四频点微带天线,且各频点对应的||S11分别达到-25.12、-17.03、-22.55和-14.12dB,证明了该算法在多频微带天线优化问题上具有可行性。In order to efficiently design microstrip antennas,an improved catfish particle s-warm optimization with wavelet mutation(ICPSOWM)is proposed for optimizing the geometric parameters of the microstrip antenna to realize better reflection characteristics.The al-gorithm properly combines the advantages of chaotic sequence,CatfishPSO and wavelet m-utation,and applies the global worst solution innovatively,resulting in higher convergence speed and more accurate convergence.Compared to some other algorithms with three ben-chmark test functions,ICPSOWM algorithm exhibits better performance in both low-dime-nsional and high-dimensional situations.Most importantly,after repeated position checking unit is added,a quad-band microstrip antenna operating in WLAN(2.4,5.2 and 5.6GHz)a-nd WiMAX(3.5GHz)systems is successfully optimized using ICPSOWM algorithm.The r-eflection values achieve-25.12,-17.03,-22.55 and-14.12dB respectively.It confirms the f-easibility of the proposed algorithm in optimizing multiband microstrip antennas.

关 键 词：四频微带天线 粒子群优化算法 混沌初始化 鲶鱼粒子 小波变异 全局最差解 

分 类 号：TN822[电子电信—信息与通信工程]