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Recognition of jet engines via sparse decomposition of ISAR images using a waveguide scattering model

Published online by Cambridge University Press:  24 July 2017

Simon Wagner Open the ORCID record for Simon Wagner [Opens in a new window]  and
Joachim Ender
Simon Wagner*
Affiliation:
Fraunhofer Institute for High Frequency Physics and Radar Techniques, Wachtberg, Germany.
Joachim Ender
Affiliation:
Fraunhofer Institute for High Frequency Physics and Radar Techniques, Wachtberg, Germany. Center for Sensorsystems, University of Siegen, Siegen, Germany
*
Corresponding author: S. Wagner Phone: +49 228 9435 365 Email: simon.wagner@fhr.fraunhofer.de
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Abstract

Air target recognition is a critical step in the radar processing chain and reliable features are necessary to make a decision. The number and position of jet engines are useful features to perform a pre-classification and give a list of possible targets. To extract these features, a sparse decomposition framework for inverse synthetic aperture radar (ISAR) images is presented. With this framework different components of the target can be detected, if signal models for these parts are available. To use it for the detection of jet engines, a review of a signal model for air intakes, which was developed by Borden, is given. This model is based on the common assumption that the propagation of electromagnetic waves inside jet engines has the same dispersive behavior as inside waveguides. With this model a decomposition of a real ISAR image, measured with the tracking and imaging radar system of Fraunhofer FHR, into point-like scattering centers and jet engines is presented.

Keywords

Radar applicationsRadar signal processing and system modelingWaveguide scattering
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 9 , Special Issue 6: EuMW 2016 Special Issue , July 2017 , pp. 1339 - 1343
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2017 

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