SBIR/STTR Research Award
Advanced Data Fusion
Award amount
$99,999Program and phase
SBIR · Phase IAward year
2006Award details
- Awarding agency
- Department of Defense
- Branch
- Missile Defense Agency
- Recipient company
- DECISIVE ANALYTICS CORPORATION
- Proposal award date
- 2006-04-05
- Contract end date
- 2006-10-31
- UEI
- MFA3QKYKLL31
- Solicitation number
- 2005.3
- Topic code
- MDA05-057
Research abstract
The Missile Defense Agency's (MDA) Project Hercules has been charged with developing advanced algorithms for the Ballistic Missile Defense System (BMDS). Under the Decision Architecture task, a Battle Manager (the DABM) has been developed to model the end-to-end BMDS. This simulation testbed models the network-centric system-of-systems that make up the BMDS including sensors, weapons systems, and the C2BMC. Under this SBIR the DAC Team proposes two niche capabilities that are not currently addressed in the BMDS. We propose a novel combination of Dempster-Shafer Theory of Evidence and Bayesian Networks to perform advanced data fusion during an engagement. Additionally we propose an innovative Stochastic Programming technique to enhance Weapon Engagement Planning. These technologies, combined with DAC's experience in missile defense will result in algorithms suitable for prototyping in Phase I and Phase II; and integration and deployment in Phase III of this SBIR.
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.
- Framework for Intelligent Simulation Command with Hierarchically Embedded Reinforcement Learning (FISCHER)
- Computer Learning Obfuscating Adversarial Kit (CLOAK)
- OPIR Performance Enhancements with Non-traditional Sensors (OPENS)
- Discovery of Anomalous Activity in Real Time (DAART)
- Air to Ground Identification Translation for Active Target Environments (AGITATE)
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Multi-Classifier Target Identification (MCTID)
- Advanced Data Fusion
- Advanced, Robust Techniques in Missile Defense Resource Management Using Utility, Entropy, and Value of Information
- Midcourse Target Identification (MCTID) Algorithm for Midcourse Threats Using Bayesian-Topological Feature Fusion and Classification
Research funding history
142 SBIR/STTR records share this UEI (2002–2019). Reported award amounts total $60,145,153. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Homeland Security
Contractor profile
DECISIVE ANALYTICS CORPORATION
Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.