MAWI:Metasurface Aided WiFi Imaging

WiFi imaging is an emerging technology that can overcome camera limitations like occlusion and poor lighting. Imaging static objects without antenna arrays or mobile platforms is challenging. In this paper, we use a metasurface with a single pair of WiFi transceiver to achieve high-resolution WiFi imaging for static objects. We analyze the WiFi multipath propagation model with a metasurface and propose an imaging system. This system employs diverse radiation patterns by directing the WiFi beam reflected from the metasurface to illuminate a target. We utilize an image-guided diffusion model for high resolution imaging. We prototype MAWI with commodity WiFi and evaluate its performance in real environments. Experimental results show MAWI performs well on four typical target shapes.

Authors

Institutions

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/msn63567.2024.00050
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MAWI:Metasurface Aided WiFi Imaging

Leiyang Xu, Huiming Yao, Xiaolong Zheng, Liang Liu
Indoor and Outdoor Localization Technologies
article

MAWI:Metasurface Aided WiFi Imaging

Leiyang Xu, Huiming Yao, Xiaolong Zheng, Liang Liu
article en

Abstract

WiFi imaging is an emerging technology that can overcome camera limitations like occlusion and poor lighting. Imaging static objects without antenna arrays or mobile platforms is challenging. In this paper, we use a metasurface with a single pair of WiFi transceiver to achieve high-resolution WiFi imaging for static objects. We analyze the WiFi multipath propagation model with a metasurface and propose an imaging system. This system employs diverse radiation patterns by directing the WiFi beam reflected from the metasurface to illuminate a target. We utilize an image-guided diffusion model for high resolution imaging. We prototype MAWI with commodity WiFi and evaluate its performance in real environments. Experimental results show MAWI performs well on four typical target shapes.

Beijing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 72%
Indoor and Outdoor Localization Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

MAWI:Metasurface Aided WiFi Imaging — Leiyang Xu, Huiming Yao, et al. · (2024) | TGRS Research Map | TGRS