Utilities mapping via Linear Sampling Method

Abstract

The Linear Sampling Method (LSM) is a microwave imaging approach that allows to image, almost in real-time, the shape of hidden objects by processing single frequency data, without neglecting multiple interactions and without requiring assumptions on the (metallic or dielectric) nature of the targets. Since the LSM requires to collect data under a multiview-multistatic measurement configuration, it is not viable to process GPR data collected with standard, monostatic or bistatic, systems, but is definitely a suitable tool for GPR systems of new generation, which instead exploit array of antennas. Accordingly, with respect to the specific problem of buried utilities mapping, in this communication we discuss the capability of the LSM to image the subsurface, by processing data gathered by means of array based GPR systems. A performance assessment is given against synthetic data.