Shi, fangzhan;
Li, wenda;
Tang, chong;
Brennan, paul;
Chetty, kevin;
(2023)
Doppler Sensing Using WiFi Round-Trip Channel State Information.
In:
Proceedings of the IEEE Wireless Communications and Networking Conference.
Institute of Electrical and Electronics Engineers (IEEE)
(In press).
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Abstract
This paper presents a wireless sensing system using WiFi round-trip channel state information (RTCSI). It is implemented using the channel state information (CSI) from the Raspberry Pi CM4 onboard WiFi chip and a customized WiFi protocol. Utilizing the CSI phase in WiFi sensing is challenging as hardware imperfections and asynchronization introduce significant phase errors. Similar to WiFi round-trip time (RTT) ranging, RTCSI cancels the adverse effect of asynchronization through two-way communication. Since the phase of RTCSI is reliable and useful, a Doppler sensing prototype is built to detect a moving target in the wireless channel. Our findings show that the additional phase information utilised in RTCSI significantly enhances CSI-based WiFi sensing. Moreover, it may be integrated with other techniques to further improve the performance in joint communications and sensing.
Type: | Proceedings paper |
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Title: | Doppler Sensing Using WiFi Round-Trip Channel State Information |
Event: | IEEE Wireless Communications and Networking Conference |
Location: | Glasgow, Scotland |
Dates: | 26 Mar 2023 - 29 Mar 2023 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://wcnc2023.ieee-wcnc.org/ |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
Keywords: | WiFi Doppler Sensing, Channel State Information, Joint Communication and Sensing |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10161602 |
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