High Resolution ISAR Imaging Methods for RCS Data Analysis

Radar Cross Section measurement data is often analyzed using Inverse Synthetic Aperture Radar images. Back-projection is the conventional method to create these images but is limited in resolution. This paper builds on developments of $\ell_{1}$ -minimization and iterative smooth reweighted $\ell_{1}$ -minimization to get superresolution and adding another processing step with Gaussian smoothing. This step improves the visualization of the produced high resolution images making them smoother and easier to interpret.