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SAR-ISAR Blending Using Compressed Sensing Methods

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Author

Summary, in English

Inverse Synthetic Aperture Radar (ISAR) target

images are extracted using compressed sensing methods. The

extracted images are edited and merged into measured Synthetic

Aperture Radar (SAR) images. A noise free image of the target

is extracted from the Radar Cross Section (RCS) measurement

by using the Basis Pursuit Denoise (BPDN) method and then

solving for a model consisting of point scatterers. The target

signature point scatterers are then merged into a point scatterer

representation of the SAR background scene. This method means

that SAR images acquired in expensive airborne field trials can

be used efficiently to evaluate different targets and camouflage

measured separately in a ground based setup. The method is

demonstrated with turntable measurements of a full scale target,

with and without camouflage, signature extraction and blending

into a SAR background. We find that the method provides an

efficient way of evaluating measured target signatures in SAR

backgrounds.

Publishing year

2015

Language

English

Pages

1-6

Publication/Series

AMTA Proceedings

Document type

Conference paper

Publisher

Antenna Measurement Techniques Association

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

37th Annual Symposium of the Antenna Measurements Techniques Association

Conference date

2015-10-13

Conference place

Long Beach, United States

Status

Published

Research group

  • Electromagnetic theory