Passive Radar Based on Wi-Fi Signals for Crowd Monitoring: From Multi-Target Tracking to Large-Scale Crowd Analysis KU Leuven
This thesis aims at performing crowd monitoring by exploiting signals of opportunity from existing Wi-Fi access points to build a passive radar. Radar processing will be applied on signals that bounced on people (targets) in an environment to obtain a so-called range-Doppler map (RDM) containing the distance and speed information of the targets, as well as an angle spectrum (from MUSIC method) containing the angle-of-arrival of the signals ...