重庆邮电大学学报（自然科学版）2009，Vol.21Issue(2)：276-283,8.
Bandwidth optimization of a Planar Inverted-F Antenna using binary and real coded genetic algorithms
Bandwidth optimization of a Planar Inverted-F Antenna using binary and real coded genetic algorithms
AMEERUDDEN Mohammad Riyad 1RUGHOOPUTH Harry C S2
作者信息
- 1. Department of Electronics and Communication Engineering University of Mauritius Réduit, Mauritius
- 2. Department of Electrical and Electronic Engineering University of Mauritius Réduit, Mauritius
- 折叠
摘要
Abstract
With the exponential development of mobile communications and the miniaturization of radio frequency transceivers, the need for small and low profile antennas at mobile frequencies is constantly growing. Therefore, new antennas should be developed to provide larger bandwidth and at the same time small dimensions. Although the gain in bandwidth performances of an antenna are directly related to its dimensions in relation to the wavelength, the aim is to keep the overall size of the antenna constant and from there, find the geometry and structure that give the best performance. The design and bandwidth optimization of a Planar Inverted-F Antenna (PIFA) were introduced in order to achieve a larger bandwidth in the 2 GHz band, using two optimization techniques based upon genetic algorithms (GA), namely the Binary Coded GA (BCGA) and Real-Coded GA (RCGA). During the optimization process, the different PIFA models were evaluated using the finite-difference time domain (FDTD) method-a technique belonging to the general class of differential time domain numerical modeling methods.关键词
binary coded genetic algorithms(BCGA)/RCGA/finite difference time domain(FDTD)/Planar Inverter-F Antenna(PIFA)Key words
binary coded genetic algorithms(BCGA)/RCGA/finite difference time domain(FDTD)/Planar Inverter-F Antenna(PIFA)分类
信息技术与安全科学引用本文复制引用
AMEERUDDEN Mohammad Riyad,RUGHOOPUTH Harry C S..Bandwidth optimization of a Planar Inverted-F Antenna using binary and real coded genetic algorithms[J].重庆邮电大学学报（自然科学版）,2009,21(2):276-283,8.
