SBIR OSW26BZ05-DV022 (Office of the Secretary of Defense): Signal Classification and Anomaly Detection in Contested Spectral Environments
U.S. Department of Defense — Office of the Secretary of Defense
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- Posted
- Aug 6, 2026
- Closes
- Sep 23, 2026 (in 27 days)
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Amount
Amount not published by the funder
Who can apply
Small Business. Startup
About this opportunity
Office of the Secretary of Defense SBIR topic — under DoW SBIR 2026 BAA (Solicitation 26.BZ, Release 5) — Accepting submissions 2026-08-26 to 2026-09-23. Objective: To develop and demonstrate a flexible, scalable, and robust Machine Learning (ML)-based software processers capable of running on COTS platforms to identify and classify known and unknown Radio Frequency (RF) signals in complex, contested spectral environments. The objective is to develop the capability that consistently outperforms expert Signals Intelligence (SIGINT) Analysts, provide decision-makers with a significant strategic advantage in spectrum analysis, and integrate with multi-function C5ISR systems. Description: Modern military operations are conducted in contested RF spectrum environments, where adversaries’ actions...