Multistatic Radar Imaging of Moving Targets
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
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.
Description
See also ADM002322. Presented at the 2010 IEEE International Radar Conference (9th) Held in Arlington,
Virginia on 10-14 May 2010. Sponsored in part by the Navy.
Rights
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.Collections
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