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 of signals experienced in relevant environments to apply appropriate mitigation techniques. The current navigation systems depend on radio frequency (RF) signals that can be influenced by various interference sources. The challenge is to quickly understand the signal characteristics to react and mitigate negative impacts. The proposed solution aims to build upon AI/Machine Learning (ML) algorithm technologies to perform PNT signal classification in real-time. The project will involve developing two antenna systems capable of detecting and classifying interference signals, collecting relevant signals for training the AI/ML solution, and demonstrating the ability to detect and identify signal types in a relevant environment. The project will have a Phase I and Phase II, with Phase II focusing on the development and demonstration of the antenna systems. The anticipated duration of the project is until March 31, 2025. For more information and to submit proposals, visit the DOD SBIR website.