Advances in SAR-ISAR blending

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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 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.

Details

Authors
Organisations
External organisations
  • SAAB AB
  • Saab Barracuda AB
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Signal Processing
Original languageEnglish
Title of host publication2017 Antenna Measurement Techniques Association Symposium, AMTA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2017-January
ISBN (Electronic)9781538637630
Publication statusPublished - 2017 Nov 28
Publication categoryResearch
Peer-reviewedYes
Event2017 Antenna Measurement Techniques Association Symposium, AMTA 2017 - Atlanta, United States
Duration: 2017 Oct 152017 Oct 20

Conference

Conference2017 Antenna Measurement Techniques Association Symposium, AMTA 2017
CountryUnited States
CityAtlanta
Period2017/10/152017/10/20