Microlocal Structure of High Range-Resolution Inverse Synthetic-Aperture Radar Data
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We consider the problem of identification of airborne objects from high-rangeresolution 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 multiple scattering from two point-like scattering centers. 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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