What project DB3 buys
This project matures and demonstrates distributed and collaborative engagement decision making for Multi-Domain Operations. The Augmented Intelligence for Mission Planning and Control effort will develop and mature Artificial Intelligence (AI) Decision Aids enabling operators to continuously manage IAMD component deployments and to select best engagement options in support of Multi-Domain Operations (MDO). This project matures next generation multi-mission radar capabilities through concepts, designs, digital prototypes, and demonstrators that will enable the convergence of both offensive and defensive fires missions by capitalizing on technologies that enable multi-mode sensor architectures to address identified military needs for a common fires radar to reduce cost and logistical burden. Work in this Project complements Program Element (PE) 0602141A (Lethality Technology) / Project CG4 (Advanced Radar Concepts and Technologies) and Project CJ7 (Future Air Defense Missile Enabling Tech; PE 0602148A (Future Vertical Lift Technology) / Project CC3 (FVL Radar Technologies); PE 0601102A (Defense Research Sciences) / Project AA8 (Sensing and Electromagnetics) and PE 0602150A (Air and Missile Defense Technology) / Project DA9 (Radar Survivability through Dis Sensing Tech); and PE 0602275A (Electronic Warfare Applied Research)/ Project A70 (Sensor Electronic Support Tech); and PE 0603275A (Electronic Warfare Advanced Technology) / Project A78 (Sensor Electronic Support Adv Tech) Work is this project is performed by the Aviation & Missile Center (AvMC) and the Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance and Reconnaissance (C5ISR) Center.
Project DB3 funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 6.5 |
| FY2026 | Enacted | 2.0 |
| FY2027 | Request | 50.5 |
| FY2028 | Outyear | 37.5 |
| FY2029 | Outyear | 13.8 |
| FY2030 | Outyear | 17.4 |
| FY2031 | Outyear | 16.4 |
3 accomplishments / planned programs
The R-2A exhibit — the only level of the budget that describes work that has not happened yet. Activities carry the prior, current and budget year only, no five-year plan. 1 of them describes FY2027 work in enough detail to have its own page; the rest are shown here in full. Coverage is partial across the corpus, so count activities, never total them.
Will mature concepts, designs and development of radar sensor technologies to enable multi-mission capability that addresses advanced and emerging threats; establish an integration team to mature, optimize and validate system performance to reduce cost and technical risk using modeling and simulation, virtual test beds, as well as…
Read the FY2027 plan →FY2027 planned work Will mature and optimize selected decision aids; mature mission testbed proof of concept (POC) prototype for upcoming demonstrations; validate decision aids with subject matter expert planning demonstrations; mature development of a POC planning software interface and modeling and simulation including AI/ML enabled algorithms for multiple sensors on the battlefield.
FY2026 to FY2027 change Funding decrease reflects downselect to most promising decision aids to continue maturation and optimization.
FY2026 plans — current year Will continue maturation and evaluation of decision aids mature development of mission testbed proof of concept (POC) prototype for future demonstrations; mature development of a POC planning software and modeling and simulation including AI/ML enabled algorithms for multiple sensors and effectors on the battlefield.
FY2025 accomplishments Will develop and evaluate various decision aids for introduction into future Air Defense Command and Control (C2) systems to reduce cognitive overload; decision aids will be evaluated in a virtual battlespace to determine their viability for the users; refine decision aids and create a process that can be incorporated into future Air Defense C2 Systems, thus building a foundation for how the Army implements Artificial Intelligence/Machine Learning (AI/ML) for AMD mission planning and optimization of weapon system pairing.
FY2025 accomplishments Will conduct an initial modeling and simulation demonstration that will assess technologies developed under the communication among sensors (CAS) task to pass detection information between sensors; mature software technology for future multi-static demonstrations. Incorporate user feedback to ensure developed technology is interoperable with Air Defense radars through software built to avoid costly hardware modifications.