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

Amir Masoud Molaei; Vasiliki Skouroliakou; Vincent Fusco; Okan Yurduseven

doi:10.1117/12.2663190

14 June 2023 Fourier-domain image reconstruction in near-field microwave imaging using a dynamic metasurface antenna: a sparse-sampling-based approach

Amir Masoud Molaei, Vasiliki Skouroliakou, Vincent Fusco, Okan Yurduseven

Author Affiliations +

Proceedings Volume 12535, Radar Sensor Technology XXVII; 125350V (2023) https://doi.org/10.1117/12.2663190
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Conference Poster

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.

Citation Download Citation

Amir Masoud Molaei, Vasiliki Skouroliakou, Vincent Fusco, and Okan Yurduseven "Fourier-domain image reconstruction in near-field microwave imaging using a dynamic metasurface antenna: a sparse-sampling-based approach", Proc. SPIE 12535, Radar Sensor Technology XXVII, 125350V (14 June 2023); https://doi.org/10.1117/12.2663190

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available