English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The microwave imaging based on inverse scattering strategy holds importantpromising in the science, engineering, and military applications. Here wepresent a compressed-sensing (CS) inspired large- aperture computationalsingle-sensor imager using 1-bit programmable coding metasurface for efficientmicrowave imaging, which is an instance of the coded aperture imaging system.However, unlike a conventional coded aperture imager where elements on randommask are manipulated in the pixel-wised manner, the controllable elements inthe proposed scheme are encoded in a column-row-wised manner. As a consequence,this single-sensor imager has a reduced data-acquisition time with improvedobtainable temporal and spatial resolutions. Besides, we demonstrate that theproposed computational single-shot imager has a theoretical guarantee on thesuccessful recovery of a sparse or compressible object from its reducedmeasurements by solving a sparsity-regularized convex optimization problem,which is comparable to that by the conventional pixel-wise coded imagingsystem. The excellent performance of the proposed imager is validated by bothnumerical simulations and experiments for the high-resolution microwaveimaging.

Large-aperture computational single-sensor microwave imager using 1-bit programmable coding metasurface at single frequency