Adaptive impedance matching for radio frequency antenna based on dual-aimed chaotic particle swarm optimization algorithm

Journal of Computer Applications ›› 2014, Vol. 34 ›› Issue (12): 3624-3627.

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Adaptive impedance matching for radio frequency antenna based on dual-aimed chaotic particle swarm optimization algorithm

LIU Chuqun,TAN Yanghong,XIONG Zhiting

College of Electrical and Information Engineering, Hunan University, Changsha Hunan 410082, China

Received:2014-06-20 Revised:2014-09-22 Online:2014-12-31 Published:2014-12-01
Contact: LIU Chuqun

基于双目标混沌粒子群算法的射频天线宽带阻抗匹配

刘楚群,谭阳红,熊智挺

湖南大学电气与信息工程学院, 长沙 410082

通讯作者: 刘楚群
作者简介:刘楚群(1987-),男,广东潮州人,硕士研究生,主要研究方向:群体智能算法、射频识别、电气工程；谭阳红(1971-）,女,湖南常德人,博士生导师,博士,主要研究方向: 射频识别、自动测试与故障诊断、电力系统负荷建模；熊智挺(1986-）,男,湖南岳阳人,硕士研究生,主要研究方向:智能算法、射频识别、神经网络。
基金资助:
国家自然科学基金资助项目;湖南省自然科学基金资助项目;中央高校基本科研业务费专项

Abstract

Abstract:

Considering the non-ideal factors of the actual impedance matching network, and in order to achieve low Standing Wave Ratio (SWR) and high transmission efficiency, an impedance matching method for radio frequency antenna was proposed based on Dual-aimed Chaotic Particle Swarm Optimization (DCPSO) algorithm. The experimental results of single-frequency impedance matching obtained by DCPSO proves that SWR and output power performance are improved compared with Particle Swarm Optimization (PSO). Combined with real frequency method, broadband impedance matching experiments were done with working band of 2G, 3G and 4G mobile technologies, results show that the entire band can get good results with impedance matching transmission efficiency.

摘要：

考虑实际阻抗匹配网络的非理想因素,为兼顾射频天线的驻波比小和功率传输效率高的目标,提出一种基于混沌粒子群算法的射频天线阻抗匹配方法,利用双目标优化混沌粒子群算法实现单频率点的阻抗匹配,实验结果证明实现的驻波比与输出功率性能都有所提高。另外结合实频法进行宽带阻抗匹配,选取2G,3G与4G移动通信技术的工作频段进行实验,结果表明在整个工作频段都能实现良好的阻抗匹配效果与传输效率。

CLC Number:

TP18

LIU Chuqun TAN Yanghong XIONG Zhiting. Adaptive impedance matching for radio frequency antenna based on dual-aimed chaotic particle swarm optimization algorithm[J]. Journal of Computer Applications, 2014, 34(12): 3624-3627.

刘楚群谭阳红熊智挺. 基于双目标混沌粒子群算法的射频天线宽带阻抗匹配[J]. 计算机应用, 2014, 34(12): 3624-3627.

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Adaptive impedance matching for radio frequency antenna based on dual-aimed chaotic particle swarm optimization algorithm

基于双目标混沌粒子群算法的射频天线宽带阻抗匹配

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