THz sparse periodic array imaging system using compressed sensing

被引：9

作者：

Hu, Shaoqing ^{[1
]}

Shu, Chao ^{[1
]}

Alfadhl, Yasir ^{[1
]}

Chen, Xiaodong ^{[1
]}

机构：

[1] Queen Mary Univ London, Sch Elect Engn & Comp Sci, Mile End Rd, London, England

来源：

IET MICROWAVES ANTENNAS & PROPAGATION | 2020年 / 14卷 / 11期

关键词：

image reconstruction; antenna arrays; terahertz wave imaging; compressed sensing; computational electromagnetics; generalised synthetic aperture focusing technique; sampling data reduction; receiving channel; transmitting channel; EM simulation; image quality; CS reconstruction; THz-SPA imaging system; image reconstruction model; THz linear sparse periodic antenna array imaging system; compressed sensing technique; RECONSTRUCTION; RADAR;

D O I：

10.1049/iet-map.2020.0099

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1157 / 1161

页数：5

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