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

Qingchao Chen; Bo Tan; Karl Woodbridge; Kevin Chetty

doi:10.1109/ICASSP.2015.7179036

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

Qingchao Chen, Bo Tan, Karl Woodbridge, Kevin Chetty

University College London

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

29 Citations (Scopus)

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.

Original language	English
Title of host publication	2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5565-5569
Number of pages	5
Volume	2015-August
ISBN (Electronic)	978-1-4673-6997-8
DOIs	https://doi.org/10.1109/ICASSP.2015.7179036
Publication status	Published - 4 Aug 2015
Externally published	Yes
Event	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia Duration: 19 Apr 2014 → 24 Apr 2014

Conference

Conference	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Country/Territory	Australia
City	Brisbane
Period	19/04/14 → 24/04/14

Keywords

Doppler
Indoor Tracking
Kalman Filter
Particle Filter
Passive Wi-Fi Radar

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2015.7179036

Cite this

Chen, Q., Tan, B., Woodbridge, K., & Chetty, K. (2015). Indoor target tracking using high doppler resolution passive Wi-Fi radar. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings (Vol. 2015-August, pp. 5565-5569). Article 7179036 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2015.7179036

Indoor target tracking using high doppler resolution passive Wi-Fi radar. / Chen, Qingchao; Tan, Bo; Woodbridge, Karl et al.
2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Vol. 2015-August Institute of Electrical and Electronics Engineers Inc., 2015. p. 5565-5569 7179036.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Chen, Q, Tan, B, Woodbridge, K & Chetty, K 2015, Indoor target tracking using high doppler resolution passive Wi-Fi radar. in 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. vol. 2015-August, 7179036, Institute of Electrical and Electronics Engineers Inc., pp. 5565-5569, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, Brisbane, Australia, 19/04/14. https://doi.org/10.1109/ICASSP.2015.7179036

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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.",

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AB - 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.

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KW - Particle Filter

KW - Passive Wi-Fi Radar

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DO - 10.1109/ICASSP.2015.7179036

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ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this