Title :
Planar monopole ultra-wide band antenna optimized by Jumping Genes Genetic Algorithm
Author :
Yang, Xue-Song ; Man, Kim Fung ; Yeung, Sai Ho ; Wang, Bing-Zhong
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong
Abstract :
A novel Multi-Objective Evolutionary Algorithm (MOEA)-Jumping Genes Genetic Algorithm (JGGA) is used to design planar Ultra-Wide Band (UWB) antennas. The optimization procedure aims at finding an antenna not only with low voltage standing wave ratio (VSWR) and small size, but also with stable radiation pattern and stable radiated power over the ultra-wide band. There are five objective functions and they are based on VSWR, antenna size, radiation pattern and gain. Both the simulated and measured results are given and they are in reasonable agreement. The group delay which is an indication of linearity between two proposed antennas is also good.
Keywords :
antenna radiation patterns; genetic algorithms; monopole antennas; planar antennas; ultra wideband antennas; monopole antenna; multi-objective evolutionary algorithm jumping genes genetic algorithm; planar antenna; radiation pattern; ultra wide band antenna; voltage standing wave ratio; Algorithm design and analysis; Antenna radiation patterns; Bandwidth; Biological cells; Broadband antennas; Evolutionary computation; Frequency; Genetic algorithms; Microstrip antennas; Ultra wideband antennas; Jumping Genes Genetic Algorithm; Multiobjective Evolutionary Algorithm; UWB antenna; planar monopole;
Conference_Titel :
Industrial Technology, 2008. ICIT 2008. IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1705-6
Electronic_ISBN :
978-1-4244-1706-3
DOI :
10.1109/ICIT.2008.4608410
