Validation of a chi2 model of HRR target RCS variability and verification of the resulting ATR performance model

Craig R. Holt; Joseph B. Attili; Steven L. Schmidt

doi:10.1117/12.445370

22 October 2001 Validation of a χ²model of HRR target RCS variability and verification of the resulting ATR performance model

Craig R. Holt, Joseph B. Attili, Steven L. Schmidt

Author Affiliations +

Proceedings Volume 4379, Automatic Target Recognition XI; (2001) https://doi.org/10.1117/12.445370
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Craig R. Holt, Joseph B. Attili, and Steven L. Schmidt "Validation of a χ²model 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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