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Proceedings Paper

A comparison of spatial sampling techniques enabling first principles modeling of a synthetic aperture RADAR imaging platform
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Paper Abstract

Simulation of synthetic aperture radar (SAR) imagery may be approached in many different ways. One method treats a scene as a radar cross section (RCS) map and simply evaluates the radar equation, convolved with a system impulse response to generate simulated SAR imagery. Another approach treats a scene as a series of primitive geometric shapes, for which a closed form solution for the RCS exists (such as boxes, spheres and cylinders), and sums their contribution at the antenna level by again solving the radar equation. We present a ray-tracing approach to SAR image simulation that treats a scene as a series of arbitrarily shaped facetized objects, each facet potentially having a unique radio frequency optical property and time-varying location and orientation. A particle based approach, as compared to a wave based approach, presents a challenge for maintaining coherency of sampled scene points between pulses that allows the reconstruction of an exploitable image from the modeled complex phase history. We present a series of spatial sampling techniques and their relative success at producing accurate phase history data for simulations of spotlight, stripmap and SAR-GMTI collection scenarios.

Paper Details

Date Published: 19 April 2010
PDF: 10 pages
Proc. SPIE 7699, Algorithms for Synthetic Aperture Radar Imagery XVII, 76990N (19 April 2010); doi: 10.1117/12.849552
Show Author Affiliations
Michael Gartley, Rochester Institute of Technology (United States)
Adam Goodenough, Rochester Institute of Technology (United States)
Scott Brown, Rochester Institute of Technology (United States)
Russel P. Kauffman, Lockheed Martin Information Systems and Global Services (United States)


Published in SPIE Proceedings Vol. 7699:
Algorithms for Synthetic Aperture Radar Imagery XVII
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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