Signal Classification and Anomaly Detection in Contested Spectral Environments
This solicitation's response window has closed.
Summary
The Department of War seeks SBIR proposals to develop and demonstrate a machine‑learning based software processor that can identify and classify known and unknown radio frequency signals in contested spectral environments. The effort aims to provide faster, transparent, and scalable signal analysis for C5ISR systems, reducing reliance on manual SIGINT analysts and improving decision‑making across multiple domains.