DocumentCode
3676562
Title
Genetic algorithm synthesis of metasurfaces with improved similarity and robustness for high-power reflector antenna applications
Author
Jeremy A. Bossard;Clinton P. Scarborough;Micah D. Gregory;Cooper S. Cicero;Douglas H. Werner;Scott F. Griffiths;Matthew L. Ketner
Author_Institution
Department of Electrical Engineering, The Pennsylvania State University, University Park, 16802 USA
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1086
Lastpage
1087
Abstract
A metamaterial reflector antenna is designed for robustness under high-power operating conditions by synthesizing pixelized metasurface geometries with minimized maximum field enhancement factor (MFEF) using a binary genetic algorithm (GA) stochastic optimizer. A metric is also included in the optimization to select unit cell geometries that share a high similarity among one another in order to improve the reflecting properties of the metasurface.
Keywords
"Metamaterials","Geometry","Magnetic materials","Reflection","Reflector antennas","Surface impedance","Genetic algorithms"
Publisher
ieee
Conference_Titel
Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2015 IEEE International Symposium on
Type
conf
DOI
10.1109/APS.2015.7304931
Filename
7304931
Link To Document