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

  • Qingchao Chen
  • , Bo Tan
  • , Karl Woodbridge
  • , Kevin Chetty

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-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 languageEnglish
Title of host publication 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Place of PublicationSouth Brisbane, QLD, Australia, Australia
PublisherIEEE
ISBN (Electronic)978-1-4673-6997-8
DOIs
Publication statusPublished - 19 Apr 2015
Externally publishedYes
Publication typeA4 Article in conference proceedings
EventIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - South Brisbane, Australia
Duration: 19 Apr 201524 Apr 2015

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Country/TerritoryAustralia
CitySouth Brisbane
Period19/04/1524/04/15

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