DocumentCode :
823532
Title :
Multi-objective genetic optimization of Yagi-Uda arrays with additional parasitic elements
Author :
Varlamos, Pantelis K. ; Papakanellos, Panagiotis J. ; Panagiotou, S.C. ; Capsalis, Christos N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
Volume :
47
Issue :
4
fYear :
2005
Firstpage :
92
Lastpage :
97
Abstract :
The,design of modified Yagi-Uda arrays with additional parasitic elements in the area of the radiating dipole, acting either as reflectors or directors, is presented. The genetic algorithms are employed, and various objective functions concerning gain, front-to-back ratio, and the latter combined with desired input impedance, are examined. Comparisons are made among the modified and conventional Yagi-Uda configurations for different weighting coefficients of the fitness functions. The modified Yagi-Uda array outperforms the conventional Yagi-Uda array, because it achieves higher performance standards over an extended bandwidth around 2.4 GHz.
Keywords :
Yagi antenna arrays; antenna radiation patterns; dipole antenna arrays; genetic algorithms; reflector antennas; Yagi-Uda arrays; directors; genetic algorithms; multiobjective genetic optimization; parasitic elements; radiating dipole; reflectors; Antenna arrays; Bandwidth; Design optimization; Directive antennas; Genetic algorithms; Impedance matching; Materials science and technology; Optimization methods; Wire; Wireless LAN;
fLanguage :
English
Journal_Title :
Antennas and Propagation Magazine, IEEE
Publisher :
ieee
ISSN :
1045-9243
Type :
jour
DOI :
10.1109/MAP.2005.1589885
Filename :
1589885
Link To Document :
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