基于双目标混沌粒子群算法的射频天线宽带阻抗匹配  

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

作　　者：刘楚群[1] 谭阳红[1] 熊智挺[1] 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082

出　　处：《计算机应用》2014年第12期3624-3627,3632,共5页journal of Computer Applications

基　　金：国家自然科学基金资助项目(61102039;51107034);湖南省自然科学基金资助项目(14JJ7029);中央高校基本科研业务费专项

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。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.

关 键 词：天线 混沌粒子群优化 阻抗匹配 双目标 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]