Automatic vehicles classification approaches for WiFi-based passive forward scatter radar

This paper shows the feasibility of a passive forward scatter radar (PFSR) based on WiFi transmissions for automatic classification of surface vehicles. To this purpose, proper automatic classification schemes are employed, able to exploit the forward scatter target signatures in the time domain. The considered approaches have been extensively tested against experimental data sets. The reported results prove that the exploited geometry yields quite stable and diverse signatures for the considered targets despite they belong to the same cars category. This results in a remarkable classification capability for the conceived sensor, thus showing the practical applicability of the WiFi-based PFSR system for surface traffic monitoring.