Title :
Genetically engineered multiband fractal antennas
Author :
Werner, D.H. ; Werner, P.L. ; Church, K.H.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
fDate :
9/13/2001 12:00:00 AM
Abstract :
Fractal antenna engineering concepts have been successfully combined with genetic algorithms to develop a powerful design optimisation tool. The genetic optimisation approach developed can simultaneously optimise the geometry of a fractal antenna, locations of loads, component values of loads, and projected length of the fractal antenna. The results suggest that a 30 to 55% size reduction can be achieved by optimising the fractalisation of a given antenna. The knowledge gained from this study is directly applicable to the design of miniature multiband fractal antennas
Keywords :
antenna theory; dipole antennas; fractals; genetic algorithms; method of moments; multifrequency antennas; design optimisation tool; genetic algorithms; genetically engineered fractal antennas; geometry optimisation; iterated function system; load locations; miniature fractal antennas; multiband fractal antennas; projected length; size reduction;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20010802
