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 language | English |
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Title of host publication | Proceedings of SPIE: Radar Sensor Technology XXVII |
Volume | 12535 |
DOIs | |
Publication status | Published - 14 Jun 2023 |
Event | SPIE Defense+Commercial Sensing: Radar Sensor Technology XXVII - Orlando, United States Duration: 30 Apr 2023 → 04 May 2023 Conference number: 12535 https://spie.org/DCS23/conferencedetails/radar-sensor-technology?SSO=1 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | SPIE Defense+Commercial Sensing: Radar Sensor Technology XXVII |
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Country/Territory | United States |
City | Orlando |
Period | 30/04/2023 → 04/05/2023 |
Internet address |
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Dive into the research topics of 'Fourier-domain image reconstruction in near-field microwave imaging using a dynamic metasurface antenna: a sparse-sampling-based approach'. Together they form a unique fingerprint.Student theses
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Real-time signal processing algorithms for computational millimetre-wave radars
Skouroliakou, V. (Author), Yurduseven, O. (Supervisor) & Ngo, H. Q. (Supervisor), Jul 2024Student thesis: Doctoral Thesis › Doctor of Philosophy