Large-aperture computational single-sensor microwave imager using 1-bit programmable coding metasurface at single frequency
Abstract
The microwave imaging based on inverse scattering strategy holds important promising in the science, engineering, and military applications. Here we present a compressed-sensing (CS) inspired large- aperture computational single-sensor imager using 1-bit programmable coding metasurface for efficient microwave imaging, which is an instance of the coded aperture imaging system. However, unlike a conventional coded aperture imager where elements on random mask are manipulated in the pixel-wised manner, the controllable elements in the proposed scheme are encoded in a column-row-wised manner. As a consequence, this single-sensor imager has a reduced data-acquisition time with improved obtainable temporal and spatial resolutions. Besides, we demonstrate that the proposed computational single-shot imager has a theoretical guarantee on the successful recovery of a sparse or compressible object from its reduced measurements by solving a sparsity-regularized convex optimization problem, which is comparable to that by the conventional pixel-wise coded imaging system. The excellent performance of the proposed imager is validated by both numerical simulations and experiments for the high-resolution microwave imaging.
Cite
@article{arxiv.1705.09387,
title = {Large-aperture computational single-sensor microwave imager using 1-bit programmable coding metasurface at single frequency},
author = {Dapeng Lao and Lianlin Li and Jun Ding and Yun Bo Li and Tie Jun Cui},
journal= {arXiv preprint arXiv:1705.09387},
year = {2017}
}