Wireless LAN sensing with smart antennas
Marco Santoboni, Riccardo Bersan, Stefano Savazzi, Alberto Zecchin,, Vittorio Rampa Daniele Piazza
TL;DR
This paper presents a novel WiFi-based human motion detection method using smart antennas with beam-steering, leveraging CSI and AoA analysis, validated through experiments in a large smart home environment.
Contribution
It introduces a new approach combining pattern reconfigurable antennas and AoA monitoring for enhanced WiFi-based motion sensing.
Findings
Effective motion detection in large environments
Successful validation with real-world experiments
Improved accuracy over traditional WiFi sensing methods
Abstract
The paper targets the problem of human motion detection using Wireless Local Area Network devices (WiFi) equipped with pattern reconfigurable antennas. Motion sensing is obtained by monitoring the body-induced alterations of the ambient WiFi signals originated from smart antennas supporting the beam-steering technology, thus allowing to channelize the antenna radiation pattern to pre-defined spots of interest. We first discuss signal and Channel State Information (CSI) processing and sanitization. Next, we describe the motion detection algorithm based on Angle-of-Arrival (AoA) monitoring. Proposed algorithms are validated experimentally inside a large size smart home environment.
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Energy Efficient Wireless Sensor Networks · Wireless Body Area Networks