Comparing Electrically Small Folded Conical and Spherical Helix Antennas Based on a Genetic Algorithm Optimization

S. Lim; H. Ling

doi:10.1163/156939309789476329

Comparing Electrically Small Folded Conical and Spherical Helix Antennas Based on a Genetic Algorithm Optimization

S. Lim, H. Ling

Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

A genetic algorithm (GA) is used as a search tool to determine the optimal geometry for maximizing bandwidth or efficiency in electrically small, volumetric antenna structures. Folded shaped helix structures, including the folded conical helix and the folded spherical helix, are placed in the same population and optimized using GA. A dense-top, spherical helix-like structure is chosen for its optimal performance.

Original language	American English
Journal	Journal of Electromagnetic Waves and Applications
Volume	23
DOIs	https://doi.org/10.1163/156939309789476329
State	Published - Apr 3 2012

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Computer Engineering

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abstract = " A genetic algorithm (GA) is used as a search tool to determine the optimal geometry for maximizing bandwidth or efficiency in electrically small, volumetric antenna structures. Folded shaped helix structures, including the folded conical helix and the folded spherical helix, are placed in the same population and optimized using GA. A dense-top, spherical helix-like structure is chosen for its optimal performance. ",

author = "S. Lim and H. Ling",

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AB - A genetic algorithm (GA) is used as a search tool to determine the optimal geometry for maximizing bandwidth or efficiency in electrically small, volumetric antenna structures. Folded shaped helix structures, including the folded conical helix and the folded spherical helix, are placed in the same population and optimized using GA. A dense-top, spherical helix-like structure is chosen for its optimal performance.

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Comparing Electrically Small Folded Conical and Spherical Helix Antennas Based on a Genetic Algorithm Optimization

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