Sensor Data Fusion

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-11-C-7550
Agency Tracking Number: B103-001-0126
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2010
Solicitation Topic Code: MDA10-001
Solicitation Number: 2010.3
Small Business Information
International Association of Virtual Org., Inc.
DBA, IAVO Research and Scientific, 345 West Main St., Ste. 201, Durham, NC, -
DUNS: 059333349
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jenn Carter
 Division Director: Special Projects
 (919) 433-2405
 jcarter@iavo-rs.com
Business Contact
 Matt Heric
Title: President&CEO
Phone: (919) 433-2402
Email: mheric@iavo-rs.com
Research Institution
 Stub
Abstract
MDA seeks to maximize the utility of collected sensor data through a fusion architecture that provides an integrated view of the battlespace. IAVO proposes research and development of a fusion architecture, which employs novel algorithmic techniques using a foundation of sound stochastic theory, probabilistic inference methodologies and pattern recognition techniques to develop the iView2TM (Integrated Battlespace Viewing for Threat Discrimination and Sensor Fusion) solution which will: Use all data collected from multiple sensors through an intelligent fusion architecture to ensure all available data is married to detected objects in space, decrease data redundancy and focus on presenting the most relevant information for quick and accurate target assessments; Account for the uncertainty and disparity in gathered intelligence; Incorporate historical data from previously collected intelligence about threatening objects to make more informed decisions; Characterize object types and natures based on collected and derived intelligence, using the fusion architecture as the medium through which data is combined and viewed; Use trajectory information to create a back-tracking capability to determine threat origin and compare missile characteristics against known weapon technology and potential end-phase targets to provide support for countermeasure decision-making; Provide actionable intelligence for planning appropriate countermeasures.

* information listed above is at the time of submission.

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