Inverse Synthetic Aperture Radar, Radar Cross Section, and Iterative Smooth Reweighting $\ell_1$-minimization

Radar Cross Section measurement data is often analyzed using Inverse Synthetic Aperture Radar images. This paper compares backprojection and iterative smooth reweighted $\ell_1$-minimization as methods to analyze radar cross section measurements and extract radar cross section for parts of the measured object. The main conclusion is that using backprojection images to extract RCS is robust and accurate but is more limited by the resolution than iterative smooth reweighted $\ell_1$-minimization. The latter method can be used for closely spaced scatterers but is limited in accuracy.

Publication Details

Journal
ArXiv.org
Published
2025-08-14
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
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article

Inverse Synthetic Aperture Radar, Radar Cross Section, and Iterative Smooth Reweighting $\ell_1$-minimization

ArXiv.org
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Inverse Synthetic Aperture Radar, Radar Cross Section, and Iterative Smooth Reweighting $\ell_1$-minimization

article en

Abstract

Radar Cross Section measurement data is often analyzed using Inverse Synthetic Aperture Radar images. This paper compares backprojection and iterative smooth reweighted $\ell_1$-minimization as methods to analyze radar cross section measurements and extract radar cross section for parts of the measured object. The main conclusion is that using backprojection images to extract RCS is robust and accurate but is more limited by the resolution than iterative smooth reweighted $\ell_1$-minimization. The latter method can be used for closely spaced scatterers but is limited in accuracy.

ArXiv.org
Openalex Percentile: Top 37%
Synthetic Aperture Radar (SAR) Applications and Techniques
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Inverse Synthetic Aperture Radar, Radar Cross Section, and Iterative Smooth Reweighting $\ell_1$-minimization · ArXiv.org (2025) | TGRS Research Map | TGRS