A Far-Field Transformation Procedure for Monostatic Linear Sampling Method Imaging

In this work we present a preliminary investigation of the Linear Sampling Method (LSM) for inverse scattering with monostatic collection geometries. Qualitative methods like the LSM rely on dense multistatic data which is costly and infeasible in some applications. Here we attempt to leverage the redundant nature of multistatic data through an interpolation and prediction scheme based on leveraging intersections of support between monostatic and bistatic support regions in K-space. This is then followed by a matrix completion algorithm for predicting the remainder of the bistatic apertures. Preliminary proof of concept of the technique is presented using simulated scatter data.