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Fusion of GMTI Reports from Multiple Sensors in Clutter

Award Information

Department of Defense
Air Force
Award ID:
Program Year/Program:
2001 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
6 New England Executive Park Burlington, MA 01803
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2001
Title: Fusion of GMTI Reports from Multiple Sensors in Clutter
Agency / Branch: DOD / USAF
Contract: F33615-01-M-1947
Award Amount: $99,091.00


Airborne systems for ground surveillance of mobile targets are increasingly providing significant tactical information for military operations. Fusion of ground moving target indicator (GMTI) radar data from multiple airborne platforms with overlappingfields of regard can improve tracking of moving ground targets. OSD is actively working to establish capabilities collaborative surveillance tasking and exploitation of airborne surveillance data. In many operational scenarios GMTI performance is limiteddue to excessive ground clutter, target motion and airborne platform surveillance geometry. Modern methods in multiple target tracking can be enhanced to provide improved fusion of GMTI radar data by exploiting known properties of airborne GMTI radars.Improved sensor models which can predict detection and measurement precision for specific classes of radars in various clutter levels are needed to enable improved tracking. This effort will produce software tools to enable enhanced fusion of GMTI radardata from multiple platforms.Airborne surveillance radar is rapidly finding commercial applications in traffic monitoring, land use survey, and transportation system monitoring. As GMTI radar becomes available for commercial exploitation tools will be indemand. Track fusion processing is a rapidly maturing military technology that holds potential for commercial applications in perimeter and site internal security, airport ground collision avoidance, transportation monitoring and survey and otherapplications. Improved tracking algorithms will enable the development of robust software tools that produce reliable information products from radar surveillance data in formats that can be directly interpreted by a wide range of users.

Principal Investigator:

William Bennett
Dir., Special Programs

Business Contact:

Andrew Mullin
Gen Counsel & Dir of Cont
Small Business Information at Submission:

50 Mall Road Burlington, MA 01803

EIN/Tax ID: 042654515
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No