Research Naval Postgraduate School, v. 4, no. 10, June 2012

NPS Research is published by the Research and Sponsored Programs, Office of the Vice President and Dean of Research, in accordance with NAVSOP-35. Views and opinions expressed are not necessarily those of the Department of the Navy.Approved for public release; distribution is unlimited

Multistatic Radar Imaging of Moving Targets

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.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

Multistatic radar imaging of moving targets

In this thesis, we study the new imaging theory developed by Cheney and Borden [1] that incorporates target motion during data collection for the imaging process. The subject of radar imaging from scattered waves is explored and incorporated into the new imaging approach. A simulation model using MATLAB is developed to simulate the imaging algorithm and also to validate the performance. It is shown that the new imaging scheme is well behaved and is linear shift invariant when the data are ideal. It is also shown that the geometry of the transmitters and receivers affects the behavior of the imaging system.http://archive.org/details/multistaticradar109454365Technology Agency author (civilian)