The Department of Defense (DOD) is seeking proposals for a novel positioning, navigation, and timing (PNT) signal classification techniques. The purpose of this solicitation is to develop the capability to classify signals in real-time that impact navigation systems. The goal is to better understand the type(s) of signal(s) experienced in relevant environments to apply mitigation techniques before harm can be done. The research will focus on improving performance, cost savings, and expanding the application of the technology sensor solution set to include additional Army aviation assets. The project will involve developing adaptive learning techniques using AI/Machine Learning (ML) algorithms to perform PNT signal classification. The proposed solution aims to build upon the progress made in AI/ML signal classification and move towards real-time signal classification. The project will have a Phase I and Phase II, with Phase II requiring the development of two antenna systems capable of detecting and classifying interference signals in real-time. The project also aims to make the antenna design portable to support upgrading antenna systems and providing support to other antenna systems in the same environment. The anticipated duration of the project is until March 31, 2025. For more information and to submit proposals, visit the DOD SBIR website.