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Reconfigurable Computing for Missile C4I

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: FA8650-04-M-4216
Agency Tracking Number: B041-046-0419
Amount: $99,998.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: MDA04-046
Solicitation Number: 2004.1
Timeline
Solicitation Year: 2004
Award Year: 2004
Award Start Date (Proposal Award Date): 2004-05-14
Award End Date (Contract End Date): 2004-11-14
Small Business Information
21311 Hawthorne Blvd., Suite 300
Torrance, CA 90503
United States
DUNS: 081116725
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 David McNamara
 Senior Research Scientist
 (703) 841-0990
 dmcnamara@dynatec.com
Business Contact
 Thomas Liesy
Title: CFO/COO
Phone: (310) 543-5433
Email: tliesy@dynatec.com
Research Institution
N/A
Abstract

The Missile Defense Agency is developing a Decision Architecture that utilizes a Bayesian Network (BN) model to integrate the information from sensors and provide estimates of the state of the threat. This operation must be carried out in real-time. The Bayesian networks used in the Decision Architecture are complex, owing to the large number of variables involved in describing a missile defense engagement and threat characteristics. The computational complexity of exact BN evaluation algorithms precludes them from being used in this context. Approximate BN evaluation algorithms suffer from problems since it is generally not possible to accurately constrain their errors since their performance is model and data dependent. Given the difficulties in identifying an algorithmic solution it is natural to investigate hardware capabilities that can support the real-time evaluation of complex Bayesian networks in missile defense applications. Dynamics Technology Inc. proposes to investigate the potential for utilizing reconfigurable hardware to support the efficient evaluation of Bayesian network models. Preliminary investigations indicated that Bayesian network evaluation algorithms exhibit characteristics that can be exploited by customized architectures. The Phase I effort will further refine this concept, determine its feasibility and lay the groundwork for developing a prototype system in Phase II.

* Information listed above is at the time of submission. *

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