Broadband Matching Network Design for Antennas Using a Hybrid Genetic Algorithm
(0) 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.
Jiang Tie-hua Su Dong-lin Chen Ai-xin Zhang Yan-jun Wang Guo-yu
School of Electronics and Information Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 China Mailbox 061 Luoyang 471000 China
国际会议
昆明
英文
2008-11-01（万方平台首次上网日期，不代表论文的发表时间）