基于快速群体智能算法的毫米波天线设计  

Millimeter Wave Antenna Design Based on Fast Swarm Intelligence Algorithm

作　　者：陈月云[1] 简荣灵 赵庸旭 

机构地区：[1]北京科技大学计算机与通信工程学院,北京100083

出　　处：《电子与信息学报》2018年第2期493-499,共7页Journal of Electronics & Information Technology

基　　金：国家科技重大专项(2016ZX03002010-004)~~

摘　　要：针对毫米波天线阻抗不匹配的问题,该文提出基于粒子群蚁群(Particle Swarm Ant Colony Optimization,PSACO)的天线贴片参数优化算法,利用蚁群算法的信息素引导机制获得粒子群算法的最优贴片长、宽及馈电位置;并采用模糊决策综合评价模型(Fuzzy Decision-Making Comprehensive Evaluation,FD-MCE)求解毫米波天线的地面开槽位置,实现带宽扩展。对28.0 GHz中心频率进行设计与仿真,结果证明所提方法能有效且快速实现毫米波天线阻抗匹配,保证谐振频率与中心频率的一致,且在开槽面积不大于接地面总面积30%时带宽可扩展约33%,回波损耗特性也得到明显改善。所提算法具有计算复杂度低,收敛速度快的优点。Considering the problem of mismatched impedance of millimeter wave antenna, an algorithm based on Particle Swarm Ant Colony Optimization （PSACO） is proposed to optimize antenna patch parameters and the pheromone guidance mechanism of the ant colony algorithm is used to obtain the patch length, width and feed position optimized by the particle swarm algorithm. The Fuzzy Decision-Making Comprehensive Evaluation （FD-MCE） model is used to solve the ground slotted position of the millimeter wave antenna to realize the bandwidth expansion . For the designed and simulated 28.0 GHz center frequency, the results show that the proposed method can effectively and quickly realize the impedance matching of millimeter wave antenna, and the resonant frequency is exactly the same as the center frequency. When the slot area is not greater than the total area of 30% of the ground, the bandwidth can be extended about 33%, and the return loss characteristics are also significantly improved. The proposed algorithm has the advantages of low computational complexity and fast convergence.

关 键 词：毫米波天线 群体智能算法 模糊决策综合评价 地面开槽 

分 类 号：TN822[电子电信—信息与通信工程]