Innovative Approaches to Fusion 2+

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-05-C-0065
Agency Tracking Number: F041-115-3028
Amount: $738,918.00
Phase: Phase II
Program: SBIR
Awards Year: 2005
Solicitation Year: 2004
Solicitation Topic Code: AF04-115
Solicitation Number: 2004.1
Small Business Information
1235 South Clark Street, Suite 400, Arlington, VA, 22202
DUNS: 036593457
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Mike Colony
 (703) 414-5001
Business Contact
 Kelly McClelland
Title: Manager, Business Ops
Phone: (703) 414-5024
Research Institution
Tactical aircraft pilots are provided with ever increasing amounts of information about the battlefield and the threats they face, providing the opportunity for achieving overwhelming information superiority over our adversaries. This potential faces two difficult challenges: 1) each aircraft must be individually capable of synthesizing/fusing all available information into a coherent tactical situational awareness and threat assessment capability and 2) the consistency of the tactical picture for all aircraft involved in a mission must be assured. Overcoming these challenges will allow commanders to incorporate doctrinal changes that allow multiple aircraft to execute highly coordinated missions, greatly improving overall mission effectiveness. A fundamental aspect of any fusion process is the representation of the uncertainty of the data. In Phase I, we demonstrated a hybrid Fuzzy Logic/Bayesian fusion architecture that demonstrated the strengths of these two inference techniques for a single aircraft capability. In Phase II, we extend the Phase I architecture to allow multiple, distributed hybrid Fuzzy/Bayesian networks to be combined into effectively one virtual network through Multiply-Sectioned Bayesian Network (MSBN) techniques. This fusion 2+ architecture is dependent on the output of a level 1 fusion model and will be provided by the Canadian test bed called CASE_ATTI .

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

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