Distributed radar imaging using a spatially enhanced linear sampling method

The Linear Sampling Method (LSM) is a qualitative inverse scattering technique which has many desirable properties for the reconstruction of 3D images from radio frequency (RF) data. These advantages include the ability to compensate for multi-path effects, the reliance on little prior assumptions regarding the imaging scene, and that it is a linear solution to the non-linear inverse problem. Unfortunately in its current form the method is unsuitable for sparse receiver aperture data, which yields it impractical for a number of important applications. In this paper we present a spatial variation enhancement for the LSM based 3D reconstruction.