Fourier-domain image reconstruction in near-field microwave imaging using a dynamic metasurface antenna: a sparse-sampling-based approach

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Abstract

In recent years, dynamic metasurface antennas (DMAs) have been proposed as an efficient alternative platform for computational imaging, which can drastically simplify the hardware architecture. In this paper, we first mathematically describe the existing solution to be able to convert raw measurements obtained by a DMA in the frequency-space domain into raw data on Fourier bases. Next, an optimization problem based on compressive sensing theory is defined, through which only a limited share of the total frequency/spatial data will be needed. The converted/retrieved data are used to reconstruct the image in the Fourier domain. The performance of the corresponding image reconstruction techniques(with/without Stolt interpolation operation) is evaluated in terms of the quality of the reconstructed image (both visually and quantitatively) and computational time with computer simulations.

Original languageEnglish
Title of host publicationProceedings of SPIE: Radar Sensor Technology XXVII
Volume12535
DOIs
Publication statusPublished - 14 Jun 2023
EventSPIE Defense+Commercial Sensing: Radar Sensor Technology XXVII - Orlando, United States
Duration: 30 Apr 202304 May 2023
Conference number: 12535
https://spie.org/DCS23/conferencedetails/radar-sensor-technology?SSO=1

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSPIE Defense+Commercial Sensing: Radar Sensor Technology XXVII
Country/TerritoryUnited States
CityOrlando
Period30/04/202304/05/2023
Internet address

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