Multistatic radar imaging of moving targets

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...

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Bibliographic Details
Published in2010 IEEE Radar Conference pp. 391 - 396
Main Authors Ling Wang, Cheney, Margaret, Borden, Brett
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2010
Subjects
Doppler radar
Doppler shift
Frequency
Light scattering
Matched filters
Radar detection
Radar imaging
Radar scattering
Radar theory
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Summary: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 narrowband waveforms in the case when the targets are moving slowly relative to the speed of light. From this model, 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 phase-space point-spread function. We show plots of the phase-space point-spread function for various geometries, and various combinations of waveforms.
ISBN:9781424458110
1424458110
ISSN:1097-5659
2375-5318
DOI:10.1109/RADAR.2010.5494589