Multi-Domain Force Applications and Traffic Management for Unmanned Aircraft Systems (M-FAT)view on SAM.gov

NAICS CODE: 541715 FEDERAL AGENCY NAME: Department of the Air Force, Air Force Materiel Command, AFRL - Rome Research Site, AFRL/Information Directorate, 26 Electronic Parkway, Rome, NY, 13441-4514 BAA ANNOUNCEMENT TYPE: Initial announcement BROAD AGENCY ANNOUNCEMENT (BAA) TITLE: Multi-Domain Force Applications and Traffic Management for Unmanned Aircraft Systems (M-FAT) BAA NUMBER: FA8750-25-S-7004 PART I – OVERVIEW INFORMATION This announcement is for an Open, 2 Step BAA which is open and effective until 4 AUG 2030. Only white papers will be accepted as initial submissions; formal proposals will be accepted by invitation only. While white papers will be considered if received prior to 3pm Eastern Standard Time (EST) on 4 AUG 2030, the following submission dates are suggested to best align with projected funding: FY26 by 05 SEP 2025 FY27 by 31 AUG 2026 FY28 by 31 AUG 2027 FY29 by 31 AUG 2028 FY30 by 31 AUG 2029 Offerors should monitor the Contract Opportunities on the SAM website at https://SAM.gov in the event this announcement is amended. CONCISE SUMMARY OF TECHNOLOGY REQUIREMENT: Seeking innovative research to enhance Counter-small Unmanned Aerial System (C-sUAS) kill chain and point defense capabilities through advancements in Electronic Warfare (EW), Cyberspace Operations (CO), Command and Control (C2) Automation and Autonomy, Low-Collateral Defeat (LCD), Low-Collateral Effect Interceptors (LCEI)/Blue Force Interceptors (BFI), and communications. One goal is to blur the line between EW and CO by developing cyberspace countermeasures that disrupt sUAS operations, particularly command and control links. This includes improving system resiliency in contested environments and prioritizing low-collateral damage solutions. C2 advancements aim to automate and optimize responses to sUAS threats, especially swarm attacks, through AI/ML, sensor fusion, and automated decision-making. Research into LCD/LCEI/BFI could lead to the development of low-cost, autonomous interceptors with integrated EW/CO capabilities and other C-sUAS payloads. Further research will focus on improving sensor technologies for enhanced detection, identification, and tracking, as well as developing a library for storing and indexing cyberspace effects. In parallel, efforts will be made to advance UAS Traffic Management (UTM) systems, integrating them with existing air traffic control, enabling safe integration of unmanned aircraft into the airspace. Finally, communication systems will be enhanced through advanced modeling and simulation, development of resilient waveforms and networking protocols for swarm operations, and integration of AI for network optimization and spectrum management. BAA ESTIMATED FUNDING: Total funding for this BAA is approximately $499M. Individual awards will not normally exceed sixty ( 60) months with dollar amounts normally ranging f…