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Multi Agent-based Satellite System for Information Fusion (MASSIF)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F29601-02-C-0097
Agency Tracking Number: 021NM-1207
Amount: $99,608.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mark Hanson
 Senior Scientist
 (617) 491-3474
 mhanson@cra.com
Business Contact
 Paul Gonsalves
Title: Vice Presidnet
Phone: (617) 491-3474
Email: pgonsalves@cra.com
Research Institution
N/A
Abstract

"Recent military operations illustrate the importance of information dominance and the subsidiary need to provide enhanced battlespace awareness to the warfighter. The emergence of space-based assets offers an unprecedented opportunity to enhancebattlespace awareness. Because space-based assets are inherently distributed and are becoming even more so due to satellite clusters, achieving information dominance requires fusing large amounts of information between sensors and vehicles based onintelligence requirements. For satellite clusters, this implies that cluster management (e.g. formation planning, payload management, etc.) needs to be more closely coupled with information fusion. In cluster operations, traditional research has focused onformation control algorithms. Here, we focus on information fusion with respect to: 1) assessing the battlespace situation with respect to overall mission requirements; 2) determining the information needs based on high-level user-generated requirements;and 3) translating the information needs into high-level cluster specific tasking. We propose to develop a Multi Agent-based Satellite System for Information Fusion (MASSIF). The innovation is the application of computational intelligence techniques suchas fuzzy logic and Bayesian belief networks with distributed agent technology and messaging for information fusion in distributed systems such as spacecraft clusters. We see considerable potential for

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

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