Sparse Regularization Effects on Radar ATR
Document Type
Conference Proceeding
Publication Date
5-3-2025
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.
Source Publication
2025 IEEE International Radar Conference (RADAR)
Recommended Citation
J. A. Jackson, "Sparse Regularization Effects on Radar ATR," 2025 IEEE International Radar Conference (RADAR), Atlanta, GA, USA, 2025, pp. 1-5, doi: 10.1109/RADAR52380.2025.11031734.
COinS
Comments
Funding note: This work is supported by the Defense Advanced Research Projects Agency (DARPA) under Air Force Institute of Technology (AFIT) project #2022-201 (HR0011363156).