Innovative Measurement methods for Homeland Security applications

This work deals with the implementation of a suitable technological support to improve the success likelihood of Urban Search and Rescue (USAR) missions. Here we introduce a new architectural solution to detect and track humans beyond walls for homeland protection applications. Two different measurement methods have been developed, the first one for detection and tracking of moving targets in two-dimensional scenes exploiting an advanced imaging technique, which takes advantages from a regularized linear inversion scheme. The second method has been developed for life signs detection and it takes advantage from a suitable spatial smoothing strategy applied to the traditional algorithm for Multiple Signal Classification (MUSIC), mandated to single out the spectral components of the received signal.