Broadband Matching Network Design for Antennas Using a Hybrid Genetic Algorithm

被引：0
|
作者：
Jiang Tie-hua [1 ]
Su, Dong-lin [1 ]
Chen Ai-xin [1 ]
Zhang Yan-jun [1 ]
Wang, Guo-yu [2 ]
机构：
[1] Beijing Univ Aeronaut & Astronaut, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
[2] Mailbox 061, Luoyang 471000, Peoples R China
来源：
ISAPE 2008: THE 8TH INTERNATIONAL SYMPOSIUM ON ANTENNAS, PROPAGATION AND EM THEORY, PROCEEDINGS, VOLS 1-3 | 2008年
关键词：
D O I：
10.1109/ISAPE.2008.4735147
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a hybrid genetic algorithm has been successfully applied to broadband matching network design for antennas. Genetic algorithm (GA) and simulated annealing (SA) have been combined to enhance the search efficiency, which can avoid both the slow convergence of GA and the dependence on the initial parameters of SA. Considering the impedance bandwidth and power available from the source delivered to the load, GA based on the parallel selection algorithm is used. The broadband matching network over the band 225 to 400MHz has been designed based on this improved hybrid genetic algorithm. The results show that the broadband matching network has broad impedance bandwidth and high covering power. The improved hybrid GA is an effective method of the broadband antenna matching network design.
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收藏
页码：90 / +
页数：2
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