Analyzing effects of range resolution on MSC HRR ATR performance

This paper is an initial exploration into the effects of range resolution on Automatic Target Recognition (ATR) algorithms based on High Range Resolution (HRR) signatures. The theoretical performance of a two-class, forced-decision classifier is used to quantify the effects of radar resolution on ATR performance. The classifier employed in this study is a forced-decision instantiation of the matched subspace classifier (MSC) developed under the DARPA TRUMPETS program. The paper also examines effects of range resolution on the separability of individual HRR profiles. This work is supported by DARPA/SPO under the MSTAR Enhancements (HBTI) program and in cooperation with AFRL/SNAA.