High Resolution ISAR Imaging Methods for RCS Data Analysis
Radar Cross Section measurement data is often analyzed using Inverse Synthetic Aperture Radar images. Backprojection is the conventional method to create these images but is limited in resolution. This paper builds on developments of ℓ1-minimization and iterative smooth reweighted ℓ1-minimization to get superresolution and adding another processing step with Gaussian smoothing. This step improves
