Review of Metasurface Antennas for Computational Microwave Imaging

This article covers recent advances in the fusion of metasurface antenna design and computational imaging (CI) concepts for the realization of imaging systems that are planar, fast, and low cost. We start by explaining the operation of metamaterial antennas which can generate diverse radiation patte...

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Veröffentlicht in:IEEE transactions on antennas and propagation Jg. 68; H. 3; S. 1860 - 1875
Hauptverfasser: Imani, Mohammadreza F., Gollub, Jonah N., Yurduseven, Okan, Diebold, Aaron V., Boyarsky, Michael, Fromenteze, Thomas, Pulido-Mancera, Laura, Sleasman, Timothy, Smith, David R.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.03.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Schlagworte:
Antenna design
Antenna radiation patterns
Antennas
computational imaging (CI)
Electromagnetism
Engineering Sciences
Imaging
Metamaterials
Metasurfaces
Microwave frequencies
microwave imaging
ISSN:0018-926X, 1558-2221
Online-Zugang:Volltext
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Zusammenfassung:This article covers recent advances in the fusion of metasurface antenna design and computational imaging (CI) concepts for the realization of imaging systems that are planar, fast, and low cost. We start by explaining the operation of metamaterial antennas which can generate diverse radiation patterns. Their advantages and distinctions from previous antennas are elucidated. We then provide an intuitive overview of the CI framework and argue that metamaterial antennas are a near ideal platform for implementing such schemes at microwave frequencies. We describe two metamaterial antenna implementations: frequency diverse and electronically reconfigurable. The tradeoffs governing the design and operation of each architecture are examined. We conclude by examining the outlook of metamaterial antennas for microwave imaging and propose various future directions.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2020.2968795