Dreamer: Dual-RIS-aided Imager in Complementary Modes
Fuhai Wang, Yunlong Huang, Zhanbo Feng, Rujing Xiong, Zhe Li, Chun, Wang, Tiebin Mi, Robert Caiming Qiu, Zenan Ling

TL;DR
Dreamer introduces a dual-RIS system operating in complementary modes to significantly expand field-of-view and improve imaging resolution in RF imaging, validated by a prototype achieving high SSIM scores.
Contribution
The paper proposes a novel dual-RIS-aided imaging system with a CNN-based neural network, enhancing perception modes and imaging quality in RF imaging environments.
Findings
Achieved SSIM score exceeding 0.83.
Expanded field-of-view and perception capabilities.
Validated effectiveness through a prototype system.
Abstract
Reconfigurable intelligent surfaces (RISs) have emerged as a promising auxiliary technology for radio frequency imaging. However, existing works face challenges of faint and intricate back-scattered waves and the restricted field-of-view (FoV), both resulting from complex target structures and a limited number of antennas. The synergistic benefits of multi-RIS-aided imaging hold promise for addressing these challenges. Here, we propose a dual-RIS-aided imaging system, Dreamer, which operates collaboratively in complementary modes (reflection-mode and transmission-mode). Dreamer significantly expands the FoV and enhances perception by deploying dual-RIS across various spatial and measurement patterns. Specifically, we perform a fine-grained analysis of how radio-frequency (RF) signals encode scene information in the scattered object modeling. Based on this modeling, we design…
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Atomic and Subatomic Physics Research
