An EM Body Model for Device-Free Localization with Multiple Antenna Receivers: A First Study
Vittorio Rampa, Federica Fieramosca, Stefano Savazzi, Michele D'Amico

TL;DR
This paper introduces an array-based electromagnetic body model for device-free localization using multi-antenna RF devices, enhancing sensing accuracy and enabling advanced beamforming techniques in WLAN networks.
Contribution
It proposes a novel array-based EM body model for DFL, demonstrating potential improvements over single-antenna methods and facilitating the use of multi-antenna devices in localization.
Findings
Simulation results show improved localization accuracy with multi-antenna models.
The framework supports integration with existing WLAN standards like IEEE 802.11ax.
Potential for advanced beamforming algorithms in device-free localization scenarios.
Abstract
Device-Free Localization (DFL) employs passive radio techniques capable to detect and locate people without imposing them to wear any electronic device. By exploiting the Integrated Sensing and Communication paradigm, DFL networks employ Radio Frequency (RF) nodes to measure the excess attenuation introduced by the subjects (i.e., human bodies) moving inside the monitored area, and to estimate their positions and movements. Physical, statistical, and ElectroMagnetic (EM) models have been proposed in the literature to estimate the body positions according to the RF signals collected by the nodes. These body models usually employ a single-antenna processing for localization purposes. However, the availability of low-cost multi-antenna devices such as those used for WLAN (Wireless Local Area Network) applications and the timely development of array-based body models, allow us to employ…
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