Journal
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
Volume 60, Issue 8, Pages 3594-3604Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAP.2012.2201118
Keywords
Frequency selective surfaces (FSS); genetic algorithm (GA); horn antennas; hybrid-mode horns; low effective refractive index; metamaterials; soft/hard surface; surface impedance
Funding
- Lockheed Martin under the University Research Initiative (URI) Program
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Metamaterial surfaces (metasurfaces) with a low effective index of refraction have been recently proposed for application in the design of hybrid-mode horn antennas, such as soft and hard horns. Here we explore designs of several metasurfaces and their use as liners for coating the interior walls of horn antennas. The design process combines the genetic algorithm optimization technique with a full-wave electromagnetic solver to create dispersion-engineered metamaterials that possess customized surface impedance properties. A metamaterial parameter extraction technique is developed and employed in the optimization process, which is based on the surface impedance expressions for a homogeneous slab backed by a perfectly conducting ground plane illuminated at near grazing incidence. The optimized meta-surface is found to be equivalent to a low index metamaterial with a dispersion that can improve the performance of conventional horn antennas over the entire K-u-band while introducing negligible losses. We conclude with a numerical study of a conical horn antenna whose interior is lined with a low index metasurface. The far-field radiation patterns and aperture field distributions confirm hybrid-mode operation over a wide bandwidth, validating the proposed metasurface design methodology.
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