Pi-NIC: Indoor sensing using synchronized off-the-shelf wireless network interface cards and raspberry Pis

Fangzhan Shi, Wenda Li, Amin Amiri, Shelly Vishwakarma, Chong Tang, Paul Brennan, Kevin Chetty

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents an indoor joint communication and sensing system that consists of synchronized off-the-shelf wireless network interface cards (NIC) and Raspberry Pis. There exists a significant body of research that uses the channel state information (CSI) reported by wireless network interface cards for sensing, but only the amplitude and phase difference of the CSI between receiver antennas are processed. The raw phase of the CSI is contaminated by the carrier frequency offset, packet detection delay and other hardware imperfections, so it is too noisy to use. Our work introduces the raw phase of CSI into sensing by synchronizing the transmitter and receiver clocks to remove carrier frequency offset and using a new method to remove packet detection delay. We validate our design in a real-world scenario to detect breathing and walking and demonstrate that the raw phase of the CSI offers an evident improvement in Wi-Fi CSI-based sensing. Additionally, we are the first to use the Raspberry Pi and ATH9k wireless network interface card together for CSI data collection, which is cheap, portable and versatile.
Original languageEnglish
Title of host publication2022 2nd IEEE International Symposium on Joint Communications & Sensing (JC&S)
PublisherIEEE
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 9 Mar 2022
Event2022 2nd IEEE International Symposium on Joint Communications & Sensing - Seefeld, Austria
Duration: 9 Mar 202210 Mar 2022

Conference

Conference2022 2nd IEEE International Symposium on Joint Communications & Sensing
Abbreviated titleJC & S 2022
Country/TerritoryAustria
CitySeefeld
Period9/03/2210/03/22

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