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dc.contributor.authorCheney, Margaret
dc.contributor.authorBorden, Brett
dc.date.accessioned2014-11-24T23:02:42Z
dc.date.available2014-11-24T23:02:42Z
dc.date.issued2003
dc.identifier.urihttp://hdl.handle.net/10945/43813
dc.description.abstractWe 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.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleMicrolocal High-Range-Resolution ISAR for Low Signal-to-Noise Environmentsen_US
dc.typeArticleen_US
dc.contributor.departmentPhysics
dc.subject.authorInverse Synthetic Aperture Radaren_US
dc.subject.authorKirchhoff scatteringen_US
dc.subject.authornoiseen_US
dc.description.funderThis 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.en_US


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