基于动态Kriging的CBPSO算法在天线设计中的应用  

Cultural-Particle Swarm Optimization Algorithm Based on Dynamic Kriging Model for Antenna Design

作　　者：徐捷[1] 项铁铭[1] 陈伟[1] 

机构地区：[1]杭州电子科技大学电子信息学院,杭州310018

出　　处：《微波学报》2015年第5期34-37,共4页Journal of Microwaves

摘　　要：针对天线优化设计通常涉及高度非线性的问题,传统优化算法往往无法获得全局最优解,在此研究背景下,引入文化粒子群优化算法(Cultural Based PSO Algorithm,CBPSO);针对高频电磁仿真软件(HFSS)仿真计算量大、耗时长的问题,引入Kriging模型替代费时的仿真计算,并通过动态更新的方法提高模型精度,提出了基于动态Kriging模型的文化粒子群算法与HFSS联合仿真优化设计方案。将该方案应用于WLAN/Wi MAX多频带天线优化设计,测试结果表明,所设计的天线在2.4~3.0GHz、3.3~3.8GHz、5.1~6.0GHz频段内回波损耗小于-10d B,覆盖了WLAN/Wi MAX所有频段,为复杂天线结构的优化设计提供了一定的参考。The traditional optimization algorithms might fail to obtain the global optimal solution for highly nonlinear optimization problem in antenna design,so a cultural based particle swarm optimization( CBPSO) algorithm is induced,and by constructing Kriging model to replace time-consuming HFSS simulation evaluation,the model is updated to improve the approximation accuracy. Proposed a optimizing project based on the combination of dynamic Kriging model- CBPSO with high frequency structure simulator( HFSS),use this project to design a WLAN / Wi MAX antenna,which covers the frequency band from 2. 4 to 3. 0GHz,3. 3 to 3. 8GHz,5. 1 to 6. 0GHz with- 10 d B return loss. It's proved that this project can be used to optimize the complicated structure antenna.

关 键 词：文化粒子群优化算法 动态Kriging模型 WLAN/WiMAX多频带天线 HFSS联合仿真 

分 类 号：TN820[电子电信—信息与通信工程] TP18[自动化与计算机技术—控制理论与控制工程]