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dc.contributor.authorCheney, Margaret
dc.contributor.authorBorden, Brett
dc.date.accessioned2014-11-24T23:29:11Z
dc.date.available2014-11-24T23:29:11Z
dc.date.issued2009-01
dc.identifier.urihttp://hdl.handle.net/10945/43821
dc.description.abstractWe develop a linearized imaging theory that combines the spatial, temporal, and spectral aspects of scattered waves. We consider the case of fixed sensors and a general distribution of objects, each undergoing linear motion; thus the theory deals with imaging distributions in phase space. We derive a model for the data that is appropriate for any waveform, and show how it specializes to familiar results when the targets are far from the antennas and narrowband waveforms are used. We use a phase-space imaging formula that can be interpreted in terms of filtered backprojection or matched filtering. For this imaging approach, we derive the corresponding point-spread function. Special cases of the theory reduce to: a) Range- Doppler imaging, b) Inverse Synthetic Aperture Radar (ISAR) and Spotlight Synthetic Aperture Radar (SAR), c) Diffraction Tomography or Ultra-narrowband imaging, and d) Tomography of Moving Targets.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.titleSpatial, Temporal, and Spectral Aspects of Far-Field Radar Dataen_US
dc.typeArticleen_US
dc.contributor.departmentPhysics
dc.description.funderThis work was supported by the Office of Naval Research, by the Air Force Office of Scientific Research under agreement number FA9550-06-1-0017, by Rensselaer Polytechnic Institute, and by the National Research Council.en_US


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