High-Resolution WiFi Imaging with Reconfigurable Intelligent Surfaces
Ying He, Dongheng Zhang, Yan Chen

TL;DR
This paper introduces a novel RIS-aided WiFi imaging framework that significantly improves spatial resolution using off-the-shelf WiFi devices, combining beamforming and super-resolution algorithms.
Contribution
The work presents a new RIS-based approach for high-resolution WiFi imaging, including a beamforming method and an optimization algorithm that accounts for phase quantization effects.
Findings
Achieves median RMSE of 0.03 in simulations
Attains median SSIM of 0.52 in simulations
Demonstrates high-resolution imaging at 5 GHz with commercial WiFi protocols
Abstract
WiFi-based imaging enables pervasive sensing in a privacy-preserving and cost-effective way. However, most of existing methods either require specialized hardware modification or suffer from poor imaging performance due to the fundamental limit of off-the-shelf commodity WiFi devices in spatial resolution. We observe that the recently developed reconfigurable intelligent surface (RIS) could be a promising solution to overcome these challenges. Thus, in this paper, we propose a RIS-aided WiFi imaging framework to achieve high-resolution imaging with the off-the-shelf WiFi devices. Specifically, we first design a beamforming method to achieve the first-stage imaging by separating the signals from different spatial locations with the aid of the RIS. Then, we propose an optimization-based super-resolution imaging algorithm by leveraging the low rank nature of the reconstructed object.…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Advanced Wireless Communication Technologies · Underwater Vehicles and Communication Systems
