Object reconstruction via radar detection behind walls

This paper explores the through-the-wall inverse scattering problem via machine learning. The reconstruction method seeks to discover the shape, location, and type of hidden objects behind simulated walls. We use radar frequency (RF) sources and receivers placed outside the room to generate observation data with objects randomly placed inside the room