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Proceedings Paper

Synthetic signature analysis using ray trace decomposition
Author(s): Adam R. Nolan; Jeff A. Hughes
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Paper Abstract

Model-based target recognition is a crucial element of any environment in which an extensive set of measured data is not available. With recent advancements in computational electromagnetics, model-based synthetic data has become the cornerstone of many radar based ATR systems. Due to time considerations, synthetic signatures are often generated using a time domain shooting and bouncing ray (SBR) technique. Model-based synthetic signatures closely match most features found in measured data and enable the evaluation of multiple target aspects, target configurations, and articulation in a variety of potential settings. However, there do exist discrepancies between synthetic signatures and measured signatures caused by various phenomena. These phenomena include nondeterministic reflectance characteristics, dynamic components, articulating control surfaces, CAD modeling error, and resonant components. This paper presents methods that decompose the SBR signature into a set of specific SBR histories in the form of a ray path tree (RPT). This decomposition enables observed signal errors to be mapped directly onto the target model components. In addition, the RPT defines an enhanced visual traceback capability and real- time signature generation. This paper will describe the algorithms used to form the RPT. Analysis of several CAD models using this tool will be presented. Conclusions on the applicability and limitations of the RPT will be drawn.

Paper Details

Date Published: 13 August 1999
PDF: 9 pages
Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357674
Show Author Affiliations
Adam R. Nolan, Science Applications International Corp. (United States)
Jeff A. Hughes, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 3721:
Algorithms for Synthetic Aperture Radar Imagery VI
Edmund G. Zelnio, Editor(s)

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