Title :
Broadband matching network design for antennas using a hybrid genetic algorithm
Author :
Tie-hua, Jiang ; Dong-lin, Su ; Ai-xin, Chen ; Yan-Jun, Zhang ; Guo-yu, Wang
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing
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 400 MHz 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.
Keywords :
broadband antennas; genetic algorithms; simulated annealing; broad impedance bandwidth; broadband antenna matching network design; frequency 225 MHz to 400 MHz; hybrid genetic algorithm; parallel selection algorithm; simulated annealing; Algorithm design and analysis; Bandwidth; Broadband antennas; Convergence; Design engineering; Genetic algorithms; Genetic engineering; Impedance; Matrix converters; Simulated annealing;
Conference_Titel :
Antennas, Propagation and EM Theory, 2008. ISAPE 2008. 8th International Symposium on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2192-3
Electronic_ISBN :
978-1-4244-2193-0
DOI :
10.1109/ISAPE.2008.4735147