Title Transmission-Type 2-Bit Programmable Metasurface for Single-Sensor and Single-Frequency Microwave Imaging
Authors Li, Yun Bo
Li, Lian Lin
Xu, Bai Bing
Wu, Wei
Wu, Rui Yuan
Wan, Xiang
Cheng, Qiang
Cui, Tie Jun
Affiliation Southeast Univ, State Key Lab Millimeter Waves, Nanjing 210096, Jiangsu, Peoples R China.
Peking Univ, Dept Elect Engn & Comp Sci, Beijing 100871, Peoples R China.
Keywords METAMATERIAL APERTURES
SURFACE-WAVES
LIGHT
REFLECTION
REFRACTION
HOLOGRAMS
INDEX
PHASE
LENS
Issue Date 2016
Publisher SCIENTIFIC REPORTS
Citation SCIENTIFIC REPORTS.2016,6.
Abstract The programmable and digital metamaterials or metasurfaces presented recently have huge potentials in designing real-time-controlled electromagnetic devices. Here, we propose the first transmission-type 2-bit programmable coding metasurface for single-sensor and single-frequency imaging in the microwave frequency. Compared with the existing single-sensor imagers composed of active spatial modulators with their units controlled independently, we introduce randomly programmable metasurface to transform the masks of modulators, in which their rows and columns are controlled simultaneously so that the complexity and cost of the imaging system can be reduced drastically. Different from the single-sensor approach using the frequency agility, the proposed imaging system makes use of variable modulators under single frequency, which can avoid the object dispersion. In order to realize the transmission-type 2-bit programmable metasurface, we propose a two-layer binary coding unit, which is convenient for changing the voltages in rows and columns to switch the diodes in the top and bottom layers, respectively. In our imaging measurements, we generate the random codes by computer to achieve different transmission patterns, which can support enough multiple modes to solve the inverse-scattering problem in the single-sensor imaging. Simple experimental results are presented in the microwave frequency, validating our new single-sensor and single-frequency imaging system.
URI http://hdl.handle.net/20.500.11897/434329
ISSN 2045-2322
DOI 10.1038/srep23731
Indexed SCI(E)
PubMed
Appears in Collections: 工学院

Files in This Work
There are no files associated with this item.

Web of Science®


0

Checked on Last Week

Scopus®



Checked on Current Time

百度学术™


0

Checked on Current Time

Google Scholar™





License: See PKU IR operational policies.