Algorithms for Discriminator Damage Assessment

Physical Sciences Inc. (PSI) and its subcontractor Corvid Technologies propose an innovative physics based approach to define and develop radar and EO/IR algorithms to assess damage to targets in post-intercept debris clouds and extract targets following non-lethal intercepts. Approaches to optimize data collection for integrated utilization of radars and optical sensors for missile defense are provided. The basis of the approach is to integrate predictive physics based modeling of RF & EO signature predictions to drive adaptive RF and EO sensor tasking, data collection and signature analyses. Thus, PSI will define and develop integrated approaches for adaptive tasking of RF and EO sensors. Emphasis will be placed on tasking RF and EO sensors for cases that optimize signal strength and post-impact scenarios with resulting debris that potentially generate tens of additional tracks and also significant amounts of untracked debris that alter the background levels of RF and EO sensors. Corvid Technologies will perform up to six high fidelity hydrocode damage/debris calculations. These calculations and analyzed data from Aegis BMD flight missions will be used to extract re-engageable targets. A learning machine approach will be explored to perform the automated adaptive tasking in Phase II.