DocumentCode :
3402985
Title :
Multiobjective optimization for low SAR antenna design
Author :
Elshafiey, Ibrahim ; Sheta, Abdel-Fattah ; Aldosari, Saeed ; Alkanhal, Majeed A. ; Alshebeili, Saleh A.
Author_Institution :
Electr. Eng. Dept., King Saud Univ., Riyadh, Saudi Arabia
fYear :
2009
fDate :
14-17 Dec. 2009
Firstpage :
213
Lastpage :
218
Abstract :
With the widespread use of wireless communication systems, efforts are directed to reduce the human exposure to RF radiation. Multiobjective optimization is becoming essential to achieve satisfactory antenna performance whilst minimizing the radiation level in the human body. A technique based on the genetic algorithm is proposed to optimize a multiobjective function involving weighted goals related to the antenna performance and the near-field radiation pattern inside the human body. Electromagnetic simulation based on FDTD formulation is performed using SEMCAD X. Dispersive material characteristic is chosen for the human head phantom. Results illustrate the enhancement introduced by this technique of antenna design that could be used in multifunction communication systems.
Keywords :
antenna radiation patterns; finite difference time-domain analysis; genetic algorithms; synthetic aperture radar; FDTD formulation; RF radiation; SEMCAD X; dispersive material characteristic; electromagnetic simulation; genetic algorithm; human head phantom; low SAR antenna design; multifunction communication systems; multiobjective optimization; near-field radiation pattern; wireless communication systems; Biological system modeling; Design optimization; Electromagnetic radiation; Finite difference methods; Genetic algorithms; Humans; Near-field radiation pattern; Radio frequency; Time domain analysis; Wireless communication; Antenna Design; Dispersive Material; Multiobjective Optimization; SAR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2009 IEEE International Symposium on
Conference_Location :
Ajman
Print_ISBN :
978-1-4244-5949-0
Type :
conf
DOI :
10.1109/ISSPIT.2009.5407578
Filename :
5407578
Link To Document :
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