Genetic algorithm optimization of stacked vertical dipoles above a ground plane

P. L. Werner, Z. Altman, R. Mittra, D. H. Werner, A. J. Ferraro

Research output: Contribution to journalConference article

4 Citations (Scopus)

Abstract

The genetic algorithm (GA) is an optimization technique based on natural selection and genetic evolution. The GA is employed to synthesize an antenna system with broadband characteristics in two distinct frequency bands, covering the frequency ranges of 30-88 MHz (VHF) and 225-450 MHz (UHF). The system contains two stacked vertical wire antennas mounted on a ground plane, with loads positioned along the wires, and two individual matching networks. The loading circuits, their locations and the components of the matching network for both the antennas are regarded as the parameters to be optimized via the GA.

Original languageEnglish (US)
Pages (from-to)1976-1979
Number of pages4
JournalIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume3
StatePublished - Jan 1 1997
EventProceedings of the 1997 IEEE Antennas and Propagation Society International Symposium. Part 1 (of 4) - Montreal, Can
Duration: Jul 13 1997Jul 18 1997

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Genetic algorithms
Antennas
Wire
Antenna grounds
Frequency bands
Networks (circuits)

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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Genetic algorithm optimization of stacked vertical dipoles above a ground plane. / Werner, P. L.; Altman, Z.; Mittra, R.; Werner, D. H.; Ferraro, A. J.

In: IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), Vol. 3, 01.01.1997, p. 1976-1979.

Research output: Contribution to journalConference article

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