Optimal Correlation Filters for Detecting a Target in Background Noise

摘要

This report focuses on the development of optimal correlation filters for patternrecognition with spatially disjoint target and scene noise. In particular, it is shown that, for this class of problems, the matched filter expressions and optimum receivers derived under the overlapping input signal and scene noise assumption may not perform well in the presence of spatially disjoint input signal and scene noise.