par Storrer, Laurent 
;Yildirim, Hasan Can ;Pocoma Copa, Evert Ismael ;Louveaux, Jérôme;De Doncker, Philippe ;Pollin, Sofie;Horlin, François
Référence (21-25 September, 2020: Florence, Italy), Proc. of the IEEE Radar Conference
Publication Publié, 2020-09
;Yildirim, Hasan Can ;Pocoma Copa, Evert Ismael ;Louveaux, Jérôme;De Doncker, Philippe ;Pollin, Sofie;Horlin, François Référence (21-25 September, 2020: Florence, Italy), Proc. of the IEEE Radar Conference
Publication Publié, 2020-09
Publication dans des actes
| Résumé : | We investigate and experimentally demonstrate amulti-antenna Wi-Fi-based passive bistatic radar (PBR) to performindoor range-Doppler-angle detection of human targets.The latest Wi-Fi standard, 802.11ax, is considered as signalof opportunity, enabling a high range resolution suited forindoor detection. We build a Uniform-Linear-Array (ULA) usingUniversal Software Radio Peripherals (USRPs) as PBR receiver(RX), and present a novel calibration method to compensate thehardware-induced phase shift difference between the signals fromthe different antennas of the ULA. To avoid data associationproblems and limitations on the number of detectable targetsfor the Direction-of-Arrival (DoA) estimation, we demonstratetheoretically the possibility to use only the cell of the target inthe radar range-Doppler maps (RDMs) across antennas as inputto the Multiple Signal Classification (MUSIC) algorithm, ratherthan using the raw received signals. We validate the experimentalsetup and the processing by detecting the range, speed and DoAof two human targets moving in a room. |
