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Proceedings Paper

RCS feature extraction from simple targets using time-frequency analysis
Author(s): James L. Rasmussen; Randy L. Haupt; Michael J. Walker
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Paper Abstract

Radar target identification requires the processing of a large amount of data. Radar cross section alone is a function of time/frequency, aspect angle, and polarization. Storing all this data as well as processing it for identification is an extremely difficult task. The goal of this research is to analyze the RCS of simple targets in the time/frequency domain to identify which time/frequency algorithms best highlight distinguishing target characteristics. We have taken extensive RCS measurements on simple objects, such as spheres, cubes, pyramids and corner reflectors, and processed the data using Fourier and wavelet transforms. In most instances, the data can be significantly compressed.

Paper Details

Date Published: 5 November 1996
PDF: 9 pages
Proc. SPIE 2845, Radar Processing, Technology, and Applications, (5 November 1996); doi: 10.1117/12.257246
Show Author Affiliations
James L. Rasmussen, U.S. Air Force Academy (United States)
Randy L. Haupt, U.S. Air Force Academy (United States)
Michael J. Walker, U.S. Air Force Academy (United States)

Published in SPIE Proceedings Vol. 2845:
Radar Processing, Technology, and Applications
William J. Miceli, Editor(s)

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