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 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">₁</tex> -minimization and iterative smooth reweighted <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">₁</tex> -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.
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Larsson et al. (2024) studied this question.
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