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Proceedings Paper

Microlocal high-range-resolution ISAR for low signal-to-noise environments
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Paper Abstract

We consider the problem of identification of airborne objects from high-range-resolution radar data. We use high-frequency asymptotics to show that certain features of the object-correspond to identifiable features of the radar data. We study the cases of single scattering and scattering from re-entrant structures such as ducts. This work suggests a method for target identification that circumvents the need to create an intermediate radar image from which the object's characteristics are to be extracted. As such, this scheme may be applicable to efficient machine-based radar identification programs.

Paper Details

Date Published: 12 September 2003
PDF: 12 pages
Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); doi: 10.1117/12.486039
Show Author Affiliations
Margaret Cheney, Rensselaer Polytechnic Institute (United States)
Brett H. Borden, Naval Postgraduate School (United States)

Published in SPIE Proceedings Vol. 5095:
Algorithms for Synthetic Aperture Radar Imagery X
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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