Through-Wall Imaging via a Linear Inverse Scattering Algorithm

A through-wall imaging problem for a 2-D scalar geometry is addressed. It is cast as an inverse scattering problem and tackled under the linear model of the electromagnetic scattering that is provided by the Born approximation. A truncated singular value decomposition inversion scheme is exploited, and the performances that are achievable by such an inversion scheme are assessed by exploiting synthetic data. The cases of weakly and strongly scattering objects are both considered. Finally, an example of reconstruction that is obtained by exploiting experimental data is presented.     

Three-Dimensional Microwave Tomography by a 2-D Slice-Based Reconstruction Algorithm

This letter deals with the problem of imaging 3-D strong scatterers by means of a 2-D slice tomographic reconstruction algorithm. More in detail, the inversion algorithm is based on two steps. In the first step, 2-D slices of the object are reconstructed; then, they are superimposed and interpolated to achieve the 3-D representation of the object. The Kirchhoff approximation is exploited to develop a linear inversion scheme for reconstructing the 2-D slices for scatterers embedded in the free space. Finally, the inversion algorithm is checked against synthetic data for the interesting case of scatterers resembling the human body.