SBIR/STTR Research Award

USW Intelligent Controller

Award identifier 4899811a47a2526e87cfcab78412f8dd95ed5e88e8edb4937989f3872a3f1037Awarding agency Department of Defense · Navy

Award amount

$70,000

Program and phase

SBIR · Phase I

Award year

2006

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
DANIEL H WAGNER ASSOCIATES INC
Proposal award date
2006-05-24
Contract end date
2006-11-20
UEI
S699ATX27YK4
Solicitation number
2006.1
Topic code
N06-050

Research abstract

In this project Daniel H. Wagner, Associates will develop of a highly capable USW Intelligent Controller (IC). Our IC will incorporate Bayesian inference, non-Gaussian tracking and non-Gaussian resource optimization techniques that utilize a geographical Situation Assessment (SA) picture generated by the SQQ-89 Data Fusion Functional Segment (DFFS). The IC will also use sensor effectiveness information generated by environmental acoustic systems such as the Sonar Tactical Decision Aid/Scalable Tactical Acoustic Propagation Loss Engine (STDA/STAPLE) when making its recommendations. These Bayesian inference, non-Gaussian tracking, and resource optimization techniques will allow the IC to optimize the use of available operator time, and of all available passive and active sensors by: (1) providing alerts concerning possibly threatening submarines or torpedoes; (2) recommending sensors/beams for operator investigation along with suggested tools for performing this investigation; (3) providing recommended maneuvers, sensor parameter settings, and tracks to optimize localization, tracking, and search effectiveness; and (4) (if UVs are present) providing alerts concerning potential collision/near-miss threats and suggested maneuvers to avoid them. In addition, the IC will be able to recommend PIM tracks to minimize vulnerability to threat submarines.BENEFITS: In Phase II we will develop a full-scale prototype IC. This Phase II system will allow us to demonstrate how powerful non-Gaussian resource optimization techniques, combined with Bayesian inferential reasoning and non-Gaussian tracking techniques, can significantly improve the ability of United States forces to conduct ASW and TD missions. Improved resource optimization technologies such as these are particularly necessary at a time when the United States is facing a sophisticated threat in difficult littoral environments, such as China, Korea, and the Middle East, with reduced resources. More effective detection, classification, localization, and tracking techniques will produce more effective operations, conducted at lower risk, resulting in fewer casualties to friendly forces and improved overall United States Navy and Joint Forces effectiveness.

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

224 SBIR/STTR records share this UEI (1983–2025). Reported award amounts total $78,332,248. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation, Department of Health and Human Services, National Aeronautics and Space Administration, Department of Commerce, Department of Transportation

Agency intelligence

Department of Defense

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