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dc.contributor.authorCheney, Margaret
dc.contributor.authorBorden, Brett
dc.date.accessioned2014-11-24T22:49:31Z
dc.date.available2014-11-24T22:49:31Z
dc.date.issued2008
dc.identifier.citationInverse Problems, Volume 24, (2008)
dc.identifier.urihttp://hdl.handle.net/10945/43810
dc.descriptionThe article of record as published may be found at http://dx.doi.org/10.1088/0266-5611/24/3/035005en_US
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 in the cases when: (a) the targets are moving slowly, (b) the targets are far from the antennas and (c) narrowband waveforms are used. From these models, we develop 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. We show that special cases of the theory reduce to: (a) range-Doppler imaging, (b) inverse synthetic aperture radar (ISAR), (c) synthetic aperture radar (SAR), (d) Doppler SAR, (e) diffraction tomography and (f) tomography of moving targets. We also show that the theory gives a new SAR imaging algorithm for waveforms with arbitrary ridge-like ambiguity functions.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.titleImaging moving targets from scattered wavesen_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, the Institute for Mathematics and its Applications, and by the National Research Council.en_US


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