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22 October 2001 Validation of a χ2 model of HRR target RCS variability and verification of the resulting ATR performance model
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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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Craig R. Holt, Joseph B. Attili, and Steven L. Schmidt "Validation of a χ2 model of HRR target RCS variability and verification of the resulting ATR performance model", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); https://doi.org/10.1117/12.445370
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