RF Spectrum Operations Enhanced with Distributed AI-Assisted Sharing of Knowledge Sharing (RF-DASK)
Summary
The Department of the Air Force’s AFMC seeks proposals to develop a dynamic and scalable signal representation for compressed RF spectrum knowledge sharing, enabling emitter detection, classification, and geolocation using AI/ML techniques. This effort targets advanced machine‑learning methods to overcome limitations of traditional Pulse Descriptor Words in modern radar environments.