Title :
Genetically engineered dual-band fractal antennas
Author :
Werner, Douglas H. ; Werner, Pingjuan L.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
Fractal antenna engineering concepts have been successfully combined with genetic algorithms to develop a powerful design optimization tool. The genetic optimization approach developed can simultaneously optimize the geometry of a fractal antenna, locations of loads, component values of loads, and the projected length of the fractal antenna. The results suggest that a 30-55% size reduction can be achieved by optimizing the fractalization and loading of a given antenna. The knowledge gained as a result of this study is directly applicable to the design of miniature fractal antennas.
Keywords :
UHF antennas; antenna theory; dipole antennas; fractals; genetic algorithms; iterative methods; method of moments; multifrequency antennas; 1.225 GHz; 1.575 GHz; antenna loading; design optimization tool; dual-band fractal antennas; fractal dipole; genetic algorithms; iterated function system; method of moments; miniature antennas; Antenna accessories; Dipole antennas; Dual band; Fractal antennas; Frequency; Genetic algorithms; Genetic engineering; Geometry; Loaded antennas; Message-oriented middleware;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2001. IEEE
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-7803-7070-8
DOI :
10.1109/APS.2001.960175
