Forward scattering micro sensor for vehicle classification

In this paper we present results in studies into the use of forward scattering radar and SISAR (shadow inverse synthetic aperture radar) micro-sensors for vehicle classification. A number of experiments that represent non-ideal scenarios are introduced and the results show that the proposed system does provide a viable classification system. We also studied the performance of the system when a network of sensors is used. Two scenarios of network deployment were tested and in both cases classification performance improved when compared to a single sensor system. In this paper, we used a single carried frequency to obtain both database and for classification. Further work is being currently carried out to study the effect of using different carrier frequencies on system performance.