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Advances in SAR-ISAR blending

Larsson, Christer LU and Jersblad, Johan (2017) 2017 Antenna Measurement Techniques Association Symposium, AMTA 2017 2017-January. p.1-6
Abstract

Radar signature measurements of targets with or without camouflage in different backgrounds using airborne SAR are complex and expensive. Measurements at many orientations as well as illumination angles have to be performed for each target for completeness. A more efficient solution is to use ground based ISAR measurements of the desired targets and then blend these images into measured SAR scenes. A SAR-ISAR blending method where the target and background are modelled by point scatterer representations is described in this paper. The point scatterer representations for the target and the SAR background are determined by solving two separate inverse problems using ℓ1 and ℓ2-minimization methods. The model for the... (More)

Radar signature measurements of targets with or without camouflage in different backgrounds using airborne SAR are complex and expensive. Measurements at many orientations as well as illumination angles have to be performed for each target for completeness. A more efficient solution is to use ground based ISAR measurements of the desired targets and then blend these images into measured SAR scenes. A SAR-ISAR blending method where the target and background are modelled by point scatterer representations is described in this paper. The point scatterer representations for the target and the SAR background are determined by solving two separate inverse problems using ℓ1 and ℓ2-minimization methods. The model for the target measured by ISAR is naturally sparse in the image domain and is therefore solved using an ℓ1-minimization method while the model for the SAR background image that is not sparse is solved using an ℓ2- minimization method. The proposed method is demonstrated and it is determined that it provides an efficient way of evaluating measured ISAR target signatures in measured SAR backgrounds.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2017 Antenna Measurement Techniques Association Symposium, AMTA 2017
volume
2017-January
pages
6 pages
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
2017 Antenna Measurement Techniques Association Symposium, AMTA 2017
conference location
Atlanta, United States
conference dates
2017-10-15 - 2017-10-20
external identifiers
  • scopus:85043459503
ISBN
9781538637630
DOI
10.23919/AMTAP.2017.8123701
language
English
LU publication?
yes
id
bb394495-8e5d-45d9-8eac-a561e83ba814
date added to LUP
2018-03-23 09:54:02
date last changed
2020-01-13 00:34:14
@inproceedings{bb394495-8e5d-45d9-8eac-a561e83ba814,
  abstract     = {<p>Radar signature measurements of targets with or without camouflage in different backgrounds using airborne SAR are complex and expensive. Measurements at many orientations as well as illumination angles have to be performed for each target for completeness. A more efficient solution is to use ground based ISAR measurements of the desired targets and then blend these images into measured SAR scenes. A SAR-ISAR blending method where the target and background are modelled by point scatterer representations is described in this paper. The point scatterer representations for the target and the SAR background are determined by solving two separate inverse problems using ℓ<sub>1</sub> and ℓ<sub>2</sub>-minimization methods. The model for the target measured by ISAR is naturally sparse in the image domain and is therefore solved using an ℓ<sub>1</sub>-minimization method while the model for the SAR background image that is not sparse is solved using an ℓ<sub>2</sub>- minimization method. The proposed method is demonstrated and it is determined that it provides an efficient way of evaluating measured ISAR target signatures in measured SAR backgrounds.</p>},
  author       = {Larsson, Christer and Jersblad, Johan},
  booktitle    = {2017 Antenna Measurement Techniques Association Symposium, AMTA 2017},
  isbn         = {9781538637630},
  language     = {eng},
  month        = {11},
  pages        = {1--6},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {Advances in SAR-ISAR blending},
  url          = {http://dx.doi.org/10.23919/AMTAP.2017.8123701},
  doi          = {10.23919/AMTAP.2017.8123701},
  volume       = {2017-January},
  year         = {2017},
}