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Proceedings Paper

Validation of a chi2 model of HRR target RCS variability and verification of the resulting ATR performance model
Author(s): Craig R. Holt; Joseph B. Attili; Steven L. Schmidt
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Paper Abstract

A (chi) 2 model for radar cross section (RCS) variability of High Range Resolution (HRR) measurements is validated using compact range data from the U.S. Army National Ground Intelligence Center (NGIC). It is shown that targets can be represented by a mean template and by a variance template, or in this case, an effective number of degrees-of-freedom for the (chi) 2-distribution. The analysis also includes comparison of the measured tails of the RCS distribution to that predicated by the (chi) 2-distribution. The likelihood classifier is obtained, and a Monte Carlo performance model is developed to validate the statistical model at the level of ATR performance.

Paper Details

Date Published: 22 October 2001
PDF: 7 pages
Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445370
Show Author Affiliations
Craig R. Holt, AETC, Inc. (United States)
Joseph B. Attili, AETC, Inc. (United States)
Steven L. Schmidt, AETC, Inc. (United States)

Published in SPIE Proceedings Vol. 4379:
Automatic Target Recognition XI
Firooz A. Sadjadi, Editor(s)

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