Improved Target Classification for Seekers

R-DEX Systems (R-DEX) proposes to leverage its proven Artificial Intelligence (AI) and Machine Learning (ML) framework developed on multiple other DoD-funded projects to demonstrate a groundbreaking capability that will radically improve Automated Target Acquisition (ATA) from seekers on weapons platforms. In Phase II, R-DEX build on the successful Phase I to increase the TRL of the proposed technology with a focus on countermeasure defeat. As AI/ML classifiers become fielded on missile seekers, adversaries will adopt proven techniques from other domains to defeat them. This Phase II project will enable the USAF to leapfrog our adversaries’ capabilities by: (1) maturing AI/ML classifiers for missile seekers; (2) strengthening AI/ML classifiers against adversarial countermeasures; and (3) developing metrics for detecting countermeasures in real time. Furthermore, this project will identify the most effective countermeasures our adversaries or the US Air Force may employ in the future. This program will result in an innovative capability with numerous benefits, such as improving target identification and target prioritization, enabling Blue aircraft to effectively prosecute targets with increased standoff range, improving autonomous collaboration of weapons systems, and improving sensing nodes for improved battlespace awareness.