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Broadband matching network design for antennas using a hybrid genetic algorithm

  • Beihang University
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科研成果: 书/报告/会议事项章节会议稿件同行评审

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.

源语言英语
主期刊名ISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings
90-93
页数4
DOI
出版状态已出版 - 2008
活动8th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2008 - Kunming, 中国
期限: 2 11月 20085 11月 2008

出版系列

姓名ISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings

会议

会议8th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2008
国家/地区中国
Kunming
时期2/11/085/11/08

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