par Yildirim, Hasan Can 
;Storrer, Laurent ;Rottenberg, François ;Louveaux, Jérôme;De Doncker, Philippe ;Horlin, François
Référence (10-15 January 2021: Utrecht, Netherlands), Proc. of the 17th European Radar Conference (EuRAD)
Publication Publié, 2021-01
;Storrer, Laurent ;Rottenberg, François ;Louveaux, Jérôme;De Doncker, Philippe ;Horlin, François Référence (10-15 January 2021: Utrecht, Netherlands), Proc. of the 17th European Radar Conference (EuRAD)
Publication Publié, 2021-01
Publication dans des actes
| Résumé : | 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. |
