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

  • Simon Wagner (a1) and Joachim Ender (a1) (a2)
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.

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Corresponding author
Corresponding author: S. Wagner Phone: +49 228 9435 365 Email: simon.wagner@fhr.fraunhofer.de
References
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[10] H. Anastassiu : A review of electromagnetic scattering analysis for inlets, cavities and open ducts. IEEE Antennas Propag. Mag., 45 (6) (2003), 2740.

[14] B. Borden : Radar Imaging of Airborne Targets, Institute of Physics Publishing, Bristol, UK and Philadelphia, PA, USA, 1999.

[19] S. Samadi ; M. Cetin ; M.A. Masnadi-Shirazi : Multiple feature-enhanced SAR imaging using sparsity in combined dictionaries. IEEE Geosci. Remote Sens. Lett., 10 (4) (2013), 821825.

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International Journal of Microwave and Wireless Technologies
  • ISSN: 1759-0787
  • EISSN: 1759-0795
  • URL: /core/journals/international-journal-of-microwave-and-wireless-technologies
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