Ricerc@Sapienza

Recently, the exploitation of polarimetric diversity was considered as a way to improve target detection capability in passive radar systems. Specifically, it was shown that a locally adaptive Polarimetric - Generalized Likelihood Radio Test (PGLRT) detection scheme might represent an effective solution for passive radar exploiting different signals of opportunity. However, depending on the considered application, it could be highly computationally expensive. The present work presents an alternative lower-cost approach, based on a global adaptation of the polarimetric whitening filter.

Suitable strategies to exploit polarimetric diversity have been proved to be able to enhance the target detection capability of passive radar (or passive coherent location - PCL) systems. In this work, the authors describe a novel polarimetric adaptive detection scheme, based on a two-dimensional autoregressive model for the disturbance. The effectiveness of the proposed strategy is shown against experimental data collected by means of a FM radio based multi-channel PCL prototype.

This work addresses the exploitation of Digital Video Broadcasting - Satellite (DVB-S) signals as sources of opportunity for the surveillance of small targets in the proximity of critical infrastructures. A performance analysis has been carried out and it is reported to demonstrate the feasibility of the proposed system. Then, a preliminary experimental validation is performed using data collected by means of a low cost COTS based multipolarimetric receiver to detect small and close targets, as drones and human beings.