WiRainbow: Single-Antenna Direction-Aware Wi-Fi Sensing via Dispersion Effect
Zhaoxin Chang, Shuguang Xiao, Fusang Zhang, Xujun Ma, Badii Jouaber, Qingfeng Zhang, Daqing Zhang

TL;DR
WiRainbow introduces a single-antenna Wi-Fi sensing method that uses dispersion effects and innovative antenna design to accurately estimate target direction without complex antenna arrays.
Contribution
The paper presents WiRainbow, a novel single-antenna approach leveraging dispersion effects and a coupled-resonator antenna design for direction-aware Wi-Fi sensing.
Findings
Achieves accurate direction estimation in multipath environments
Expands sensing coverage with improved antenna design
Demonstrates robustness and cost-effectiveness in real-world tests
Abstract
Recently, Wi-Fi signals have emerged as a powerful tool for contactless sensing. During the sensing process, obtaining target direction information can provide valuable contextual insights for various applications. Existing direction estimation methods typically rely on antenna arrays, which are costly and complex to deploy in real-world scenarios. In this paper, we present WiRainbow, a novel approach that enables single-antenna-based direction awareness for Wi-Fi sensing by leveraging the dispersion effect of frequency-scanning antennas (FSAs), which can naturally steer Wi-Fi subcarriers toward distinct angles during signal transmission. To address key challenges in antenna design and signal processing, we propose a coupled-resonator-based antenna architecture that significantly expands the narrow Field-of-View inherent in conventional FSAs, improving sensing coverage. Additionally, we…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Direction-of-Arrival Estimation Techniques · Speech and Audio Processing
