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Multi-Agent Satellite System for Information Fusion (MASSIF)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F29601-03-C-0017
Agency Tracking Number: 021NM-1207
Amount: $738,001.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2003
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 President
Phone: (617) 491-3474
Email: pgonsalves@cra.com
Research Institution
N/A
Abstract

Recent military operations demonstrate the reliance of U.S. military operations on space assets for intelligence, surveillance, communications, and targeting. Using anti-satellite methods such as lasers or kinetic energy vehicles, potential adversaries mayacquire the capability to attack space assets and severely degrade operations. To minimize risk to the assets, defensive counterspace techniques and attack detection are aggressively being pursued. Here, we propose a Multi-Agent Satellite System forInformation Fusion (MASSIF) to automatically assist operators in the detection, identification, and characterization of anti-satellite attacks. Our novel system integrates a fuzzy logic system-based approach for semantic data processing and a Bayesianbelief network approach for multi-source data fusion and situation assessment. We see considerable potential for this system in enhancing current and planned Air Force Rapid Attack Identification, Detection, and Reporting Systems (RAIDRS) approaches andtechnologies.

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

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