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

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.