The Field-based Model: A New Perspective on RF-based Material Sensing

TL;DR

WiField is a WiFi sensing system that uses a novel field-based approach to identify multiple targets with high accuracy, leveraging phaseless data to analyze electric fields and material properties across a broad area.

Contribution

The paper introduces WiField, a unified, field-based RF sensing framework capable of simultaneously identifying multiple targets using phaseless data on low-cost devices.

Findings

Achieves over 97% accuracy in identifying 1-3 targets.

Operates effectively within a 1.05m x 1.05m area.

Supports flexible target placement and material types.

Abstract

This paper introduces the design and implementation of WiField, a WiFi sensing system deployed on COTS devices that can simultaneously identify multiple wavelength-level targets placed flexibly. Unlike traditional RF sensing schemes that focus on specific targets and RF links, WiField focuses on all media in the sensing area for the entire electric field. In this perspective, WiField provides a unified framework to finely characterize the diffraction, scattering, and other effects of targets at different positions, materials, and numbers on signals. The combination of targets in different positions, numbers, and sizes is just a special case. WiField proposed a scheme that utilizes phaseless data to complete the inverse mapping from electric field to material distribution, thereby achieving the simultaneous identification of multiple wavelength-level targets at any position and having the potential for deployment on a wide range of low-cost COTS devices. Our evaluation results show that it has an average identification accuracy of over 97% for 1-3 targets (5 cm * 10 cm in size) with different materials randomly placed within a 1.05 m * 1.05 m area.