Wireless LAN sensing with smart antennas

Autor:	Santoboni, Marco, Bersan, Riccardo, Savazzi, Stefano, Zecchin, Alberto, Piazza, Vittorio Rampa Daniele
Rok vydání:	2022
Předmět:	Computer Science - Networking and Internet Architecture Computer Science - Machine Learning Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: Accepted for publication in EuCAP 2022, https://www.eucap2022.org/
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2205.00973 Zobrazit plný text záznamu View this record from Arxiv