TIGER – Techniques for the Improvement of Geospatial RF detection

The Department of Defense, specifically the United States Air Force, is seeking proposals for the SBIR topic titled "TIGER – Techniques for the Improvement of Geospatial RF Detection." The objective of this opportunity is to develop and deploy AI and machine learning techniques for the detection and geolocation of weak radio frequency (RF) emitters from a single Collaborative Combat Aircraft (CCA) platform, particularly in environments with strong emitters. This initiative is crucial for enhancing battlespace awareness and improving the accuracy of geolocation techniques, which are often hindered by traditional methods that require multiple platforms or suffer from slow computation speeds. Interested parties must submit their proposals by May 21, 2025, with the opportunity being open for submissions starting April 2, 2025. For more details, applicants can refer to the solicitation document available at the provided source link.