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High Resolution ISAR Imaging Methods for RCS Data Analysis

Larsson, Christer LU and Gällström, Andreas LU (2024) 18th European Conference on Antennas and Propagation, EuCAP 2024 In 18th European Conference on Antennas and Propagation, EuCAP 2024
Abstract

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 the visualization of the produced high resolution images making them smoother and easier to interpret.

Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
inverse problems, inverse synthetic aperture radar, measurements, radar cross section, super resolution, visualization
host publication
18th European Conference on Antennas and Propagation, EuCAP 2024
series title
18th European Conference on Antennas and Propagation, EuCAP 2024
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
18th European Conference on Antennas and Propagation, EuCAP 2024
conference location
Glasgow, United Kingdom
conference dates
2024-03-17 - 2024-03-24
external identifiers
  • scopus:85192435881
ISBN
9788831299091
DOI
10.23919/EuCAP60739.2024.10500909
language
English
LU publication?
yes
id
9d63480d-fb09-42c0-87a4-4e48d6eb4918
date added to LUP
2025-01-16 11:15:27
date last changed
2025-04-04 15:15:09
@inproceedings{9d63480d-fb09-42c0-87a4-4e48d6eb4918,
  abstract     = {{<p>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 ℓ<sub>1</sub>-minimization and iterative smooth reweighted ℓ<sub>1</sub>-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.</p>}},
  author       = {{Larsson, Christer and Gällström, Andreas}},
  booktitle    = {{18th European Conference on Antennas and Propagation, EuCAP 2024}},
  isbn         = {{9788831299091}},
  keywords     = {{inverse problems; inverse synthetic aperture radar; measurements; radar cross section; super resolution; visualization}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{18th European Conference on Antennas and Propagation, EuCAP 2024}},
  title        = {{High Resolution ISAR Imaging Methods for RCS Data Analysis}},
  url          = {{http://dx.doi.org/10.23919/EuCAP60739.2024.10500909}},
  doi          = {{10.23919/EuCAP60739.2024.10500909}},
  year         = {{2024}},
}