Paper
18 April 2010 A comparison of spatial sampling techniques enabling first principles modeling of a synthetic aperture RADAR imaging platform
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Gartley, Adam Goodenough, Scott Brown, and Russel P. Kauffman "A comparison of spatial sampling techniques enabling first principles modeling of a synthetic aperture RADAR imaging platform", Proc. SPIE 7699, Algorithms for Synthetic Aperture Radar Imagery XVII, 76990N (18 April 2010); https://doi.org/10.1117/12.849552
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Cited by 8 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Antennas

Device simulation

Photons

Bidirectional reflectance transmission function

Radiometry

Atmospheric modeling

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