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Feature Extraction from Electromagnetic Backscattered Data Using Joint Time-Frequency Processing

  • L. C. Trintinalia
  • H. Ling

Abstract

In radar cross section applications, it is well known that the electromagnetic backscattering from a complex target can be approximately modeled as if it is emanating from a discrete set of points on the target called scattering centers. The scattering center model, while only an approximation, is conceptually simple and provides a sparse abstraction of the actual target for numerous radar applications. For instance, by storing the strength and position of the scattering centers, the 1D range profile and 2D inverse synthetic aperture radar (ISAR) imagery of the target can be easily reconstructed in real time, alleviating the need for the storage of large data sets. Therefore, the extraction of the scattering center model of a target from electromagnetic signature data is an important problem1.

Keywords

Inverse Synthetic Aperture Radar Observation Angle Point Scatterer Backscatter Data Joint Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • L. C. Trintinalia
    • 1
  • H. Ling
    • 1
  1. 1.Department of Electrical and Computer EngineeringThe University of Texas at AustinAustinUSA

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