TY - JOUR
T1 - Comparing electrically small folded conical and spherical helix antennas based on a genetic algorithm optimization
AU - Lim, S.
AU - Ling, H.
N1 - 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.
PY - 2009
Y1 - 2009
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=73149116867&partnerID=8YFLogxK
U2 - 10.1163/156939309789476329
DO - 10.1163/156939309789476329
M3 - Article
SN - 0920-5071
VL - 23
SP - 1585
EP - 1593
JO - Journal of Electromagnetic Waves and Applications
JF - Journal of Electromagnetic Waves and Applications
IS - 11-12
ER -