STTR DAF27TZ02-DV005 (Air Force): RF Spectrum Operations Enhanced with Distributed AI-Assisted Sharing of Knowledge Sharing (RF-DASK)
U.S. Department of Defense — Air Force
- Posted
- Nov 13, 2026
- Closes
- Jan 6, 2027 (in 54 days)
Similar opportunities open now
- STTR DAF27TZ01-DV003 (Air Force): Fusion of Cooperative Information Sharing for Uncrewed Air Systems (FOCISAUS)Same funderOpenU.S. Department of Defense — Air ForceCloses Nov 25, 2026
- STTR DAF27TZ01-DV002 (Air Force): Cyber Resiliency for Fog and Edge Computing DevicesSame funderOpenU.S. Department of Defense — Air ForceCloses Nov 25, 2026
- STTR DAF27TZ01-DV001 (Air Force): AI-Enabled Computed Vision Air-to-Air Refueling Performance Assessment and Automated Pilot Debrief SystemSame funderOpenU.S. Department of Defense — Air ForceCloses Nov 25, 2026
- SBIR DAF27BZ01-NV003 (Air Force): Multiple Telemetry Site Signal Source SynchronizationSame funderOpenU.S. Department of Defense — Air ForceCloses Nov 25, 2026
- SBIR DAF27BZ01-DV008 (Air Force): Technical Data Package Modernization for Information Assurance and Secure Data ExchangeSame funderOpenU.S. Department of Defense — Air ForceCloses Nov 25, 2026
Amount
Amount not listed here. Check the official program.
Who can apply
Small Business. Startup. Research Institution (partner required)
About this opportunity
Air Force STTR topic — Accepting submissions 2026-12-02 to 2027-01-06. Current ES systems are designed to detect enemy electronic signals by extracting Pulse Descriptor Words (PDWs) from these signals. Modern radar systems used by adversaries increasingly employ Artificial Intelligence (AI) and it is becoming increasingly difficult to identify, characterize, and represent their waveforms using PDWs alone. To deploy effective Electronic Countermeasures (ECM), there is a need to develop novel methods, including machine learning (ML) [1,2] to enable dynamic and scalable data representation and compression methods that represent complex waveforms, which can be efficiently shared with other nodes in the network. The main goal of this project is to develop advanced techniques for dynamic and sc...