Ricerc@Sapienza

This paper investigates the possibility to localize small aircrafts and drones in three-dimensions by exploiting a passive radar based on WiFi transmissions. Specifically, following the latest results of the authors, where the effectiveness of the WiFi-based passive radar has been demonstrated for the detection and 2D localization of small aircrafts, the advanced capability to estimate their height is demonstrated in this paper. In addition, the new capability is explored to detect and localize small commercial drones and UAVs in 3D.

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.

Following the promising results obtained in previous studies, in this paper we address the main limitations of a WiFi-based Passive Forward Scatter Radar in vehicles monitoring applications. Specifically, the possibility to operate in the absence of a reference signal is investigated in order to avoid the need for a dedicated receiving channel and to make the sensor independent of the exploited transmitter of opportunity.