par Storrer, Laurent 
;Yildirim, Hasan Can ;Desset, Claude;Bauduin, Marc ;Horlin, François ;Bourdoux, André
Référence (25-28 May, 2020: Antwerp, Belgium), Proc. of the IEEE 91st Vehicular Technology Conference, VTC-Spring
Publication Publié, 2020-05
;Yildirim, Hasan Can ;Desset, Claude;Bauduin, Marc ;Horlin, François ;Bourdoux, André Référence (25-28 May, 2020: Antwerp, Belgium), Proc. of the IEEE 91st Vehicular Technology Conference, VTC-Spring
Publication Publié, 2020-05
Publication dans des actes
| Résumé : | We address the problem of static clutter removalin Wi-Fi-based passive bistatic radars. Our goal is to detectslowly moving targets in highly cluttered indoor environments,using Orthogonal Frequency-Division Multiplexing signals fromthe 802.11n and 802.11ac Wi-Fi standards as sources of opportunity.We propose alternatives to the commonly used ExtendedCancellation Algorithm (ECA) clutter removal method. Thosealternatives are compared to ECA with simulations using aninnovative metric based on CA-CFAR detection, and validatedwith experimental measurements using two Universal SoftwareRadio Peripherals, along with a fan and an electric train asradar targets. The conclusion of that analysis is that, thanks tothe decoupled range and Doppler radar processing, simple novelmethods such as Average Removal are efficient alternatives tothe computationally intensive ECA which is currently the stateof-the-art in CR. |
