SBIR/STTR Research Award

Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF)

Award identifier 9eccdea83e3ffac04a90467ba606e41d67100994e8d69a7eca32c61693686aedAwarding agency Department of Defense · Missile Defense Agency

Award amount

$998,132

Program and phase

STTR · Phase II

Award year

2015

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Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
CHARLES RIVER ANALYTICS, INC.
Proposal award date
2015-09-21
Contract end date
2017-09-20
UEI
DD1BYN8SN355
Solicitation number
2013.2
Topic code
MDA13-T001

Research abstract

In our Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF) project, we will model the entire multi-sensor fusion process as a probabilistic model and reason about the different design and algorithmic decisions that can be made by system engineers. This fusion model will use standard fusion system representations and ideas from statistical relational learning field to create flexible and expandable fusion systems. AMMUF will enable system engineers to determine the optimal fusion configuration in different missile defense contexts, giving battlefield operators the most accurate and efficient information about missile threats. Approved for Public Release, 15-MDA-8303 (1 July 15)

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

961 SBIR/STTR records share this UEI (1984–2026). Reported award amounts total $386,500,110. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Homeland Security, Department of Transportation, Department of Energy

Agency intelligence

Department of Defense

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