Sparse Regularization Effects on Radar ATR

Synthetic aperture radar images of civilian vehicles are shown to have reduced correlation in images formed using basis pursuit denoising compared to those formed using polar format algorithm. Sidelobe reduction via windowing has a negative effect on target recognition due to the inherent mainlobe spreading. Basis pursuit image does not suffer the same mainlobe spreading while reducing sidelobes, though benefits come at the cost of computations.

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Published
2025-05-03
DOI
https://doi.org/10.1109/radar52380.2025.11031734
Primary Topic
Microwave Imaging and Scattering Analysis
Type
article
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article

Sparse Regularization Effects on Radar ATR

Julie Ann Jackson
Microwave Imaging and Scattering Analysis
article

Sparse Regularization Effects on Radar ATR

Julie Ann Jackson
article en

Abstract

Synthetic aperture radar images of civilian vehicles are shown to have reduced correlation in images formed using basis pursuit denoising compared to those formed using polar format algorithm. Sidelobe reduction via windowing has a negative effect on target recognition due to the inherent mainlobe spreading. Basis pursuit image does not suffer the same mainlobe spreading while reducing sidelobes, though benefits come at the cost of computations.

U.S. Air Force Institute of Technology (US)
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Openalex Percentile: Top 87%
Microwave Imaging and Scattering Analysis
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Sparse Regularization Effects on Radar ATR — Julie Ann Jackson · (2025) | TGRS Research Map | TGRS