RF Spectrum Operations Enhanced with Distributed AI-Assisted Sharing of Knowledge Sharing (RF-DASK)

Description: Current electronic-support systems rely on pulse descriptor words, while AI-enabled adversary radar makes waveform identification and characterization more difficult. The Department of the Air Force seeks dynamic, scalable compressed representations of complex radio-frequency waveforms that can be shared across networked electronic-support systems for emitter detection, classification, geolocation, and electronic-countermeasure operations. Proposed algorithms should account for hardware size, weight, and power constraints and be evaluated through hardware-in-the-loop experiments in relevant spectrum environments.