Imaging that Exploits Spatial, Temporal, and Spectral Aspects of Far-Field Radar Data
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Authors
Cheney, Margaret
Borden, Brett
Subjects
radar imaging
ambiguity function
ambiguity function
Advisors
Date of Issue
2008
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Abstract
We 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 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) Spotlight Synthetic Aperture Radar (sar), d) Diffraction Tomography, and e) Tomography of Moving
Targets. We also show that the theory gives a new SAR imaging algorithm for waveforms with arbitrary ridge-like
ambiguity functions.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1117/12.777416
Series/Report No
Department
Physics
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This 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.
Format
Citation
Algorithms for Synthetic Aperture Radar Imagery XV, edited by Edmund G. Zelnio, Frederick D. Garber Proc. of SPIE Vol. 6970, 69700I, (2008) · 0277-786X/08/$18 · doi: 10.1117/12.777416
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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.