Ultra-Wideband Planar Antenna Optimized by a Multi-Objective Evolutionary Algorithm

Author

Yang, Xue-Song ; Man, Kim Fung ; Sai Ho Yeung ; Li, Jia-Lin ; Wang, Bing-Zhong

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong

fYear

2007

fDate

11-14 Dec. 2007

Firstpage

1

Lastpage

4

Abstract

An ultra-wideband (UWB) planar antenna optimized by a newly developed Multi-Objective Evolutionary Algorithm- Jumping Genes Genetic Algorithm (JGGA) is proposed. 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 over the 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 agree well with each other.

Keywords

antenna radiation patterns; genetic algorithms; planar antennas; ultra wideband antennas; jumping genes genetic algorithm; multiobjective evolutionary algorithm; radiation pattern; ultra-wideband planar antenna; Antenna radiation patterns; Broadband antennas; Evolutionary computation; Frequency; Genetic algorithms; Microwave antennas; Planar arrays; Receiving antennas; Ultra wideband antennas; Ultra wideband technology; Jumping Genes Genetic Algorithm; Multi-Objective Evolutionary Algorithm; UWB antenna;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Conference, 2007. APMC 2007. Asia-Pacific

Conference_Location

Bangkok

Print_ISBN

978-1-4244-0748-4

Electronic_ISBN

978-1-4244-0749-1

Type

conf

DOI

10.1109/APMC.2007.4554873

Filename

4554873