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Adaptive Data Fusion for Real-time Threat Assessment

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
N103-224-0500
Solicitation Year:
2010
Solicitation Topic Code:
N103-224
Solicitation Number:
2010.3
Small Business Information
ALTUSYS CORP.
P O Box 1274 Princeton, NJ -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2011
Title: Adaptive Data Fusion for Real-time Threat Assessment
Agency: DOD
Contract: N00167-11-P-0146
Award Amount: $79,999.00
 

Abstract:

One of the key goals of strengthening maritime security is to increase maritime domain awareness, involving a combination of intelligence, surveillance, and operational information to build as complete a picture as possible to assess the threats and vulnerabilities in the maritime realm. Maintaining coherent situation awareness is essential for making informed timely decisions aimed at detecting and deferring threat and assessing the impact of those decisions more effectively. The problem of threat identification is complicated by number and types, sometimes unknown, of RF emitters in the littoral environments where the features used for their classification are highly multidimensional, possibly noisy, corrupt, and with large intra-class variations. Due to these input feature characteristics, existing algorithms are ineffective for dealing with complex unreliable and uncertain multi-dimensional multi-source data streams. We propose to confront the challenge of processing these data streams by designing an adaptive context-dependent multi-layer hybrid fusion process engine that combines heuristic and connectionist approaches to feature extraction, selection, and classification

Principal Investigator:

Galina Rogova
Senior Research Scientist
(609) 651-4500
rogova@altusystems.com

Business Contact:

Lundy Lewis
President
(609) 651-4500
buford@altusystems.com
Small Business Information at Submission:

Altusys Corp
P O Box 1274 Princeton, NJ -

EIN/Tax ID: 810627388
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No