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

Indoor target tracking using high doppler resolution passive Wi-Fi radar

Chen, Q; Tan, B; Woodbridge, K; Chetty, K; (2015) Indoor target tracking using high doppler resolution passive Wi-Fi radar. In: Clarkson, V and Manton, J, (eds.) 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (pp. pp. 5565-5569). Institute of Electrical and Electronics Engineers (IEEE) Green open access

[thumbnail of Chetty_Indoor_target_tracking.pdf]
Preview
Text
Chetty_Indoor_target_tracking.pdf - Accepted Version

Download (552kB) | Preview

Abstract

This paper describes two Doppler only indoor passive Wi-Fi tracking methods based on high Doppler resolution passive radar. Two filters are investigated in this paper, the extended Kalman filter and the sequential importance resampling (SIR) particle filter. Experimental results for these two tracking filters are presented using results from software defined passive Wi-Fi radar using a standard 802.11 access point as an illuminator. The experimental results show that the SIR particle filter performs well using Wi-Fi signals for indoor tracking with a high degree of accuracy. Proposals for simplifying the SIR particle and application to multiple target tracking are also discussed.

Type: Proceedings paper
Title: Indoor target tracking using high doppler resolution passive Wi-Fi radar
Event: 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), 19-24 April 2015, Brisbane, Australia
Location: Brisbane, AUSTRALIA
Dates: 19 April 2014 - 24 April 2014
ISBN-13: 9781467369978
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICASSP.2015.7179036
Publisher version: https://doi.org/10.1109/ICASSP.2015.7179036
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: Passive Wi-Fi Radar, Indoor Tracking, Doppler, Kalman Filter, Particle Filter
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 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/1467086
Downloads since deposit
298Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item