Source identification and correlation between near field-far field tolerances when applying a genetic algorithm

Author

Fan, Hongmei ; Schlagenhaufer, Franz

Author_Institution

Western Australian Telecommun. Res. Inst., Univ. of Western Australia, Crawley, WA

fYear

2008

fDate

8-12 Sept. 2008

Firstpage

1

Lastpage

6

Abstract

Genetic Algorithm is applied to find an optimal electric and magnetic dipole set for a known source. The algorithm reaches good repeatability by manipulating the processes of selection, crossover and mutation. The correlation between fitness values for near field matching and far field prediction is analysed. The evolution of dipole parameters and fitness correlation is illustrated, and the far field pattern prediction is compared with the reference data.

Keywords

antenna radiation patterns; blind source separation; dipole antennas; genetic algorithms; dipole parameters; far field pattern prediction; fitness correlation; fitness values; genetic algorithm; magnetic dipole set; near field matching; near field-far field tolerances; optimal electric dipole set; source correlation; source identification; Australia; Azimuth; Electromagnetic compatibility; Electromagnetic measurements; FCC; Genetic algorithms; Magnetic field measurement; Magnetic moments; Noise measurement; Road transportation; Genetic Algorithm; far field prediction; fitness correlation; near field matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Compatibility - EMC Europe, 2008 International Symposium on

Conference_Location

Hamburg

Print_ISBN

978-1-4244-2737-6

Electronic_ISBN

978-1-4244-2737-6

Type

conf

DOI

10.1109/EMCEUROPE.2008.4786923

Filename

4786923