Genetically engineered dual-band fractal antennas

Douglas Henry Werner, Pingjuan Li Werner, K. H. Church, J. W. Culver, S. D. Eason

Research output: Contribution to journalArticle

11 Scopus citations

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 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.

Original languageEnglish (US)
Pages (from-to)628-631
Number of pages4
JournalIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume3
DOIs
StatePublished - Jan 1 2001

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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