Design and Optimization of a Planar Inverted-F Antenna using Genetic Algorithms
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. This paper presents the design and bandwidth optimization of a Planar Inverted-F Antenna (PIFA) 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 are evaluated using the finite-difference time domain (FDTD) method -a technique belonging to the general class of differential time domain numerical modeling methods.
Mohammad Riyad Ameerudden Harry C.S.Rughooputh
Department of Electronics and Communication Engineering University of Mauritius Réduit, Mauritius Department of Electrical and Electronic Engineering University of Mauritius Réduit, Mauritius
国际会议
2008 Sino-European Workshop on Intelligent Robots and Systems(SEIROS08)(第一届中欧智能系统及机器人国际学术研讨会)
重庆
英文
1-8
2008-12-11（万方平台首次上网日期，不代表论文的发表时间）