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- W133802242 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 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 back projection 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. We also show that in special cases, the theory reduces to (a) range-Doppler imaging, (b) inverse synthetic aperture radar (ISAR), (c) synthetic aperture radar (SAR), (d) Doppler SAR, and (e) tomography of moving targets." @default.
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- W133802242 date "2012-11-20" @default.
- W133802242 modified "2023-09-23" @default.
- W133802242 title "Multistatic Radar Waveforms for Imaging of Moving Targets" @default.
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- W133802242 doi "https://doi.org/10.1007/978-0-8176-8376-4_7" @default.
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