Data Fusion Handoff

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-09-C-0024
Agency Tracking Number: N062-109-0076
Amount: $743,043.00
Phase: Phase II
Program: SBIR
Awards Year: 2009
Solicitation Year: 2006
Solicitation Topic Code: N06-109
Solicitation Number: 2006.2
Small Business Information
162 Genesee Street, Utica, NY, 13502
DUNS: 111305843
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Peter Shea
 Principal Investigator
 (315) 732-7385
Business Contact
 Milissa Benincasa
Title: Vice President
Phone: (315) 732-7385
Research Institution
ABSTRACT: As the military continues to move forward with an increased number of sensor and resulting fusion systems, it becomes necessary for these systems to be to communicate efficiently and effectively. This is especially important to the Air Force as they address the persistent layered sensing problem. In this problem, there are a number of sensor and fusion systems that in the past have operated independent of one another in a stovepiped fashion. As the military continue to move toward a more network centric environment, the need for these existing systems to operate with legacy fusion systems as well as newly developed systems become imperative. The goal of this effort is to extend the work complete during the first phase that demonstrated the ability to develop a common representation of a surveillance region through a common tracking number approach. As part of this Phase II effort, we propose to extend this successful Phase I proof-of-concept demonstration to more complex scenarios and environments by researching and developing new algorithms and concepts to solve the distributed fusion and tracking numbering problem. BENEFIT: Upon successful completion of this Phase II effort, Black River Systems Company will have demonstrated a data fusion handoff capability that solves a challenging Air Force problem. This will be accomplished by maintaining consistent identification of the target during transition between fusion systems and managing the uncertainty of the tracks during periods of transition all while working with legacy fusion systems.

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

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