Computational imaging using frequency-diverse metasurfaces

J. N. Gollub, O. Yurduseven, M. F. Imani, H. Odabasi, T. Sleasman, K. P. Trofatter, M. Boyarsky, D. L. Marks, David R. Smith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper summarizes the recent advances in using frequency-diverse metasurfaces for computational imaging in the microwave and millimeter wave regimes. Frequency-diverse apertures are defined as structures that can generate distinct radiation patterns as a function of frequency. Such waveforms can multiplex a scene information into a set of backscattered measurements, which can be decoded using computational algorithms. In this manner, these apertures can retrieve a scene's reflectivity map using a fast frequency sweep (all-electronic operation), circumventing the requirement for a mechanical scan or active circuit components. We review recent advances in developing these apertures and examine their performance in both simulation and experimental settings. Finally, efforts to build large apertures, which can image at the diffraction limit, are discussed.

Original languageEnglish (US)
Title of host publication2017 11th European Conference on Antennas and Propagation, EUCAP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1208-1211
Number of pages4
ISBN (Electronic)9788890701870
DOIs
StatePublished - May 15 2017
Externally publishedYes
Event11th European Conference on Antennas and Propagation, EUCAP 2017 - Paris, France
Duration: Mar 19 2017Mar 24 2017

Publication series

Name2017 11th European Conference on Antennas and Propagation, EUCAP 2017

Conference

Conference11th European Conference on Antennas and Propagation, EUCAP 2017
CountryFrance
CityParis
Period3/19/173/24/17

Keywords

  • computational imaging
  • inverse problem
  • metafilm
  • metasurfaces

ASJC Scopus subject areas

  • Safety Research
  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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