DocumentCode :
493986
Title :
Optimization of large log-periodic dual-dipole antenna by using Genetic Algorithm on embedded element in small log-periodic array
Author :
Yang, Jian ; Kildal, Per-Simon
Author_Institution :
Dept of Signals & Syst., Chalmers Univ. of Technol., Gothenburg
fYear :
2009
fDate :
23-27 March 2009
Firstpage :
1308
Lastpage :
1311
Abstract :
The paper introduces a new method that can predict the reflection coefficient of a complete large log-periodic array (with large number of elements) by calculating the embedded S-parameters between all input and output ports of similar elements that are embedded in a much smaller log-periodic array. By this method we can apply global optimization scheme such as Genetic Algorithm on embedded element in the smaller log-periodic array to improve the reflection coefficient of the larger log-periodic array very efficiently. As an example, an Eleven feed for 2 - 13 GHz has been optimized by using Genetic Algorithm with the present method. The result is a reflection coefficient below -10 dB from 2 GHz to 13 GHz.
Keywords :
dipole antennas; genetic algorithms; genetic algorithm; global optimization scheme; large log-periodic dual-dipole antenna; small log-periodic array; Bandwidth; Dipole antennas; Feeds; Frequency; Genetic algorithms; Log periodic antennas; Optical reflection; Optimization methods; Reflector antennas; Ultra wideband antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation, 2009. EuCAP 2009. 3rd European Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4244-4753-4
Electronic_ISBN :
978-3-00-024573-2
Type :
conf
Filename :
5067854
Link To Document :
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