Literature Database Entry

wessels2023passive


Alexander Wessels, "Passive Sensing of Mechanical Vibrations using COTS 802.11 Hardware," Bachelor Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), December 2023. (Advisor: Anatolij Zubow; Referees: Falko Dressler and Thomas Sikora)


Abstract

The research field of passive Wi-Fi sensing by analyzing Channel State Information (CSI) has received much attention in recent years. The possibility to use already existing and cheaply available Wi-Fi hardware, and to use it as a passive sensor promises innovative solutions and can be used in many ways. This paper describes an approach to measure periodic vibrations and determine their frequency by auto- correlation using very low-cost, widely available Commercial of the Shelf (COTS) hardware. The procedure was exploratory, and the focus of this work is analyzing CSI to determine periodic vibrations. Despite low-cost hardware, it was possible to reliably estimate single frequencies in the range around 1 Hz. COTS Wi-Fi technology, for many different applications, could thus offer a valid, easy-to-integrate alternative to more complex optical methods such as the LiDAR. Finally, we present WiBPM, an analysis tool written in Python, that estimates periodic motions based on recorded RSSI and CSI data and visualizes them.

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Alexander Wessels

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@phdthesis{wessels2023passive,
    author = {Wessels, Alexander},
    title = {{Passive Sensing of Mechanical Vibrations using COTS 802.11 Hardware}},
    advisor = {Zubow, Anatolij},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {12},
    referee = {Dressler, Falko and Sikora, Thomas},
    school = {TU Berlin (TUB)},
    type = {Bachelor Thesis},
    year = {2023},
   }
   
   

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Last modified: 2024-10-14