High Resolution 802.11ax-based Passive Radar for Human Movement Monitoring

Yildirim, H.C.;Storrer, L.;Rottenberg, F.;Louveaux, Jérôme;Horlin, F.;et.al.
(2021) 17th European Radar Conference, EuRAD 2020 — Location: Utrecht (13.January.2020)

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Authors
  • Yildirim, H.C.ULB
    Author
  • Storrer, L.ULB
    Author
  • Rottenberg, F.ULB
    Author
  • Author
  • Horlin, F.ULB
    Author
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Abstract
Passive Radars, based on the emerging 802.11ax Wi-Fi standard, are considered for indoor human movement detection. Since the Wi-Fi access points transmit multiple frames in bursts, the FFT-based Doppler estimation techniques fail due to the limited duration of the bursts. Therefore, super resolution techniques are examined for low Doppler frequency estimation based on a small number of frames. An algorithm is proposed which uses ESPRIT in an iterative fashion. The performance of the algorithm is numerically analysed, compared to theoretical bounds, and validated experimentally.
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Citations

Yildirim, H. C., Storrer, L., Rottenberg, F., Louveaux, J., De Doncker, P., & Horlin, F. (2021). High Resolution 802.11ax-based Passive Radar for Human Movement Monitoring. EuRAD 2020 - 2020 17th European Radar Conference, 413-416. https://doi.org/10.1109/EuRAD48048.2021.00111 (Original work published 2021)