Broadband matching network design for antennas using a hybrid genetic algorithm

Jiang Tie-Hua; Su Dong-Lin; Chen Ai-Xin; Zhang Yan-Jun; Wang Guo-Yu

doi:10.1109/ISAPE.2008.4735147

Broadband matching network design for antennas using a hybrid genetic algorithm

Jiang Tie-Hua^*
, Su Dong-Lin
, Chen Ai-Xin
, Zhang Yan-Jun
, Wang Guo-Yu

^*Corresponding author for this work

School of Electronic and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	ISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings
Pages	90-93
Number of pages	4
DOIs	https://doi.org/10.1109/ISAPE.2008.4735147
State	Published - 2008
Event	8th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2008 - Kunming, China Duration: 2 Nov 2008 → 5 Nov 2008

Publication series

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

Conference

Conference	8th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2008
Country/Territory	China
City	Kunming
Period	2/11/08 → 5/11/08

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10.1109/ISAPE.2008.4735147

Cite this

Tie-Hua, J., Dong-Lin, S., Ai-Xin, C., Yan-Jun, Z., & Guo-Yu, W. (2008). Broadband matching network design for antennas using a hybrid genetic algorithm. In ISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings (pp. 90-93). Article 4735147 (ISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings). https://doi.org/10.1109/ISAPE.2008.4735147

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title = "Broadband matching network design for antennas using a hybrid genetic algorithm",

abstract = "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.",

author = "Jiang Tie-Hua and Su Dong-Lin and Chen Ai-Xin and Zhang Yan-Jun and Wang Guo-Yu",

year = "2008",

doi = "10.1109/ISAPE.2008.4735147",

language = "英语",

isbn = "9781424421923",

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

pages = "90--93",

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

note = "8th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2008 ; Conference date: 02-11-2008 Through 05-11-2008",

}

Tie-Hua, J, Dong-Lin, S , Ai-Xin, C, Yan-Jun, Z & Guo-Yu, W 2008, Broadband matching network design for antennas using a hybrid genetic algorithm. in ISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings., 4735147, ISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings, pp. 90-93, 8th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2008, Kunming, China, 2/11/08. https://doi.org/10.1109/ISAPE.2008.4735147

Broadband matching network design for antennas using a hybrid genetic algorithm. / Tie-Hua, Jiang; Dong-Lin, Su ; Ai-Xin, Chen et al.
ISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings. 2008. p. 90-93 4735147 (ISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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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Tie-Hua J, Dong-Lin S , Ai-Xin C, Yan-Jun Z, Guo-Yu W. Broadband matching network design for antennas using a hybrid genetic algorithm. In ISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings. 2008. p. 90-93. 4735147. (ISAPE 2008 - The 8th International Symposium on Antennas, Propagation and EM Theory Proceedings). doi: 10.1109/ISAPE.2008.4735147

Broadband matching network design for antennas using a hybrid genetic algorithm

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