| Frontiers in Materials | |
| Frequency-Diverse Holographic Metasurface Antenna for Near-Field Microwave Computational Imaging | |
| Long Li1  Qiang Feng1  Yu Zhao1  Jiaqi Han1  Haixia Liu1  Xiangjin Ma2  Shuncheng Tian2  Guisheng Liao3  | |
| [1] Center of Intelligent Metamaterials, Pazhou Laboratory, Guangzhou, China;Key Laboratory of High Speed Circuit Design and EMC of Ministry of Education, School of Electronic Engineering, Xidian University, Xi’an, China;National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China; | |
| 关键词: holographic metasurface; computational imaging; compressed sensing; near-field imaging; frequency-diverse; | |
| DOI : 10.3389/fmats.2021.766889 | |
| 来源: DOAJ | |
【 摘 要 】
This article presents a holographic metasurface antenna with stochastically distributed surface impedance, which produces randomly frequency-diverse radiation patterns. Low mutual coherence electric field patterns generated by the holographic metasurface antenna can cover the K-band from 18 to 26 GHz with 0.1 GHz intervals. By utilizing the frequency-diverse holographic metasurface (FDHM) antenna, we build a near-field microwave computational imaging system based on reflected signals in the frequency domain. A standard horn antenna is adopted to acquire frequency domain signals radiated from the proposed FDHM antenna. A detail imaging restoration process is presented, and the desired targets are correctly reconstructed using the 81 frequency-diverse patterns through full-wave simulation studies. Compressed sensing technique and iterative shrinkage/thresholding algorithms are applied for the imaging reconstruction. The achieved compressive ratio of this computational imaging system on the physical layer is 30:1.
【 授权许可】
Unknown