DocumentCode
673620
Title
A multi-layered metamaterial inspired dynamically tunable antenna
Author
Myers, Joshua C. ; Chahal, Premjeet ; Rothwell, Edward
Author_Institution
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
fYear
2013
fDate
7-13 July 2013
Firstpage
934
Lastpage
935
Abstract
A multi-layered metamaterial inspired antenna with a pixel grid loading structure is introduced. The antenna consists of two layers separated by a thin dielectric substrate. The first layer contains a folded monopole antenna surrounded by a metal pixel based loading structure, while the second layer is envisioned to consist of a photoconductive pixel grid utilized to tune the antenna. The state of each pixel is controlled by a binary genetic algorithm, which is implemented with a Matlab-HFSS interface. HFSS simulations show that the second layer has a wide tuning ability with the appropriate state formed through optimization. As a proof of concept, the pixel grid on the second layer is initially made of a metal conductor. A state corresponding to a resonant frequency of 3.5GHz is selected and the antenna is constructed using conventional photolithography. The measured reflection coefficients are shown to be in good agreement with HFSS simulations, successfully demonstrating the ability to dramatically tune the antenna with a second pixel grid.
Keywords
electrical engineering computing; genetic algorithms; mathematics computing; metamaterial antennas; photolithography; Matlab-HFSS interface; binary genetic algorithm; folded monopole antenna; frequency 3.5 GHz; metal conductor; metal pixel based loading structure; multilayered metamaterial inspired dynamically tunable antenna; photoconductive pixel grid; pixel grid loading structure; reflection coefficients; thin dielectric substrate; Antenna measurements; Antennas; Genetic algorithms; Geometry; Reflection coefficient; Resonant frequency; Tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE
Conference_Location
Orlando, FL
ISSN
1522-3965
Print_ISBN
978-1-4673-5315-1
Type
conf
DOI
10.1109/APS.2013.6711126
Filename
6711126
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