Title :
The Optimum Design of PIFA Based on HFSS and Genetic Algorithm
Author :
He, Yejun ; Ao, Jiefeng ; Tang, Xiaorong ; Yang, Jie
Author_Institution :
Dept. of Commun. Eng., Shenzhen Univ., Shenzhen, China
Abstract :
In this paper we demonstrate the optimization of planar inverted F antenna (PIFA) for broadband operation by optimizing the geometry/size of the inverted-F patch and the position of the shorting pin. The optimization technique based on the combination of Genetic Algorithm(GA) with HFSS is presented to facilitate the PIFA design. The technique is compiled by Matlab and the VB scrip of HFSS. The simulation results show that the method broadens the bandwidth of the PIFA antenna.
Keywords :
broadband antennas; genetic algorithms; microstrip antennas; planar inverted-F antennas; GA; HFSS; Matlab simulation; PIFA optimum design; VB scrip simulation; genetic algorithm; geometry-size optimization technique; inverted-F patch antenna; planar inverted F antenna; shorting pin position; Antenna radiation patterns; Bandwidth; Broadband antennas; Broadband communication; Genetic algorithms; Optimization;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6250-6
DOI :
10.1109/wicom.2011.6039971
