Open AccessTHz sparse periodic array imaging system using compressed sensing
Author(s) -
Hu Shaoqing,
Shu Chao,
Alfadhl Yasir,
Chen Xiaodong
Publication year - 2020
Publication title -
iet microwaves, antennas and propagation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.555
H-Index - 69
eISSN - 1751-8733
pISSN - 1751-8725
DOI - 10.1049/iet-map.2020.0099
Subject(s) - compressed sensing , terahertz radiation , sampling (signal processing) , iterative reconstruction , computer science , channel (broadcasting) , set (abstract data type) , data set , image quality , aperture (computer memory) , sparse array , image (mathematics) , computer vision , optics , artificial intelligence , algorithm , physics , acoustics , telecommunications , filter (signal processing) , programming language
This article studies the compressed sensing (CS) technique applied in the THz linear sparse periodic array (SPA) imaging system, proposing the corresponding image reconstruction model. The THz‐SPA imaging system has been tested in electromagnetic (EM) simulation, and then experimentally verified by using a simplified set‐up that only uses one transmitting channel and one receiving channel. The reconstructed images based on both simulation and experimental data have demonstrated the feasibility of CS reconstruction for reducing sampling data but maintaining comparable image quality as the traditional generalised synthetic aperture focusing technique.