Advances in SAR-ISAR blending

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i 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.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • SAAB AB
  • Saab Barracuda AB
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Signalbehandling
Originalspråkengelska
Titel på värdpublikation2017 Antenna Measurement Techniques Association Symposium, AMTA 2017
FörlagInstitute of Electrical and Electronics Engineers Inc.
Sidor1-6
Antal sidor6
Volym2017-January
ISBN (elektroniskt)9781538637630
StatusPublished - 2017 nov 28
PublikationskategoriForskning
Peer review utfördJa
Evenemang2017 Antenna Measurement Techniques Association Symposium, AMTA 2017 - Atlanta, USA
Varaktighet: 2017 okt 152017 okt 20

Konferens

Konferens2017 Antenna Measurement Techniques Association Symposium, AMTA 2017
LandUSA
OrtAtlanta
Period2017/10/152017/10/20