Full-Space Wireless Sensing Enabled by Multi-Sector Intelligent Surfaces
Yumeng Zhang, Xiaodan Shao, Hongyu Li, Bruno Clerckx, and Rui Zhang

TL;DR
This paper explores the novel application of multi-sector intelligent surfaces for full-space wireless sensing and localization, demonstrating enhanced coverage, power efficiency, and target angle sensitivity through theoretical analysis and simulations.
Contribution
It introduces a multi-sector IS-based self-sensing system for wireless sensing, providing new insights into full-space coverage and improved sensing performance over single-sector configurations.
Findings
Multi-sector IS achieves full-space sensing beyond single-sector systems.
Directive antenna patterns significantly improve sensing capabilities.
The system enhances power efficiency and target angle sensitivity.
Abstract
The multi-sector intelligent surface (IS), benefiting from a smarter wave manipulation capability, has been shown to enhance channel gain and offer full-space coverage in communications. However, the benefits of multi-sector IS in wireless sensing remain unexplored. This paper introduces the application of multi-sector IS for wireless sensing/localization. Specifically, we propose a new self-sensing system, where an active source controller uses the multi-sector IS geometry to reflect/scatter the emitted signals towards the entire space, thereby achieving full-space coverage for wireless sensing. Additionally, dedicated sensors are installed aligned with the IS elements at each sector, which collect echo signals from the target and cooperate to sense the target angle. In this context, we develop a maximum likelihood estimator of the target angle for the proposed multi-sector IS…
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Taxonomy
TopicsOptical Wireless Communication Technologies · Advanced Wireless Communication Technologies · Indoor and Outdoor Localization Technologies
