Microlocal High-Range-Resolution ISAR for Low Signal-to-Noise Environments
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Authors
Cheney, Margaret
Borden, Brett
Subjects
Inverse Synthetic Aperture Radar
Kirchhoff scattering
noise
Kirchhoff scattering
noise
Advisors
Date of Issue
2003
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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.
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Article
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Physics
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This work was supported by the Office of Naval Research. This work was also supported in part by CenSSIS, the Center for Subsurface Sensing and Imaging Systems, under the Engineering Research Centers Program of the National Science Foundation (award number EEC-9986821), by the NSF Focused Research Groups in the Mathematical Sciences program, and by the Air Force Office of Scientific Research.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.