UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Occupancy Detection and People Counting Using WiFi Passive Radar

Chetty, K; Tang, C; Li, W; Julier, S; Woodbridge, K; (2020) Occupancy Detection and People Counting Using WiFi Passive Radar. In: Proceedings of the 2020 IEEE Radar Conference - Renaissance meets advancing technology. The Institute of Electrical and Electronics Engineers (IEEE) Green open access

[img]
Preview
Text
Conference Paper_accepted.pdf - Accepted version

Download (675kB) | Preview

Abstract

Occupancy detection and people counting technologies have important uses in many scenarios ranging from management of human resources, optimising energy use in intelligent buildings and improving public services in future smart cities. Wi-Fi based sensing approaches for these applications have attracted significant attention in recent years because of their ubiquitous nature, and ability to preserve the privacy of individuals being counted. In this paper, we present a Passive Wi-Fi Radar (PWR) technique for occupancy detection and people counting. Unlike systems which exploit the Wi-Fi Received Signal Strength (RSS) and Channel State Information (CSI), PWR systems can directly be applied in any environment covered by an existing WiFi local area network without special modifications to the Wi-Fi access point. Specifically, we apply Cross Ambiguity Function (CAF) processing to generate Range-Doppler maps, then we use Time-Frequency transforms to generate Doppler spectrograms, and finally employ a CLEAN algorithm to remove the direct signal interference. A Convolutional Neural Network (CNN) and sliding-window based feature selection scheme is then used for classification. Experimental results collected from a typical office environment are used to validate the proposed PWR system for accurately determining room occupancy, and correctly predict the number of people when using four test subjects in experimental measurements.

Type: Proceedings paper
Title: Occupancy Detection and People Counting Using WiFi Passive Radar
Event: 2020 IEEE Radar Conference - Renaissance meets advancing technology
Location: Florence, Italy
Dates: 21st-25th September 2020
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/RadarConf2043947.2020.9266493
Publisher version: https://doi.org/10.1109/RadarConf2043947.2020.9266...
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: Wireless fidelity, Doppler effect, Passive radar, Sensors, Radar, Surveillance, Spectrogram
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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 Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/10102047
Downloads since deposit
2Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item