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RF-IR Target Characterization for Feature-Aided Track Correlation

Award Information

Department of Defense
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
20 New England Business Center Andover, MA 01810-1077
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2013
Title: RF-IR Target Characterization for Feature-Aided Track Correlation
Agency: DOD
Contract: HQ0147-13-C-7358
Award Amount: $99,967.00


To maintain a complete, timely and coherent situational awareness picture, missile defense command and control functionality typically requires information to be integrated from a variety of different semi-autonomous sensors tracking the battle from different viewing geometries. These sensors, whether EO/IR or RF, typically each develop their own internal tracks upon objects within the scene, which later must be merged together with tracks from other sensors to form a single system track picture that best represents the consensus estimate as to the total number of objects and their trajectories. This track correlation process is complicated both by the fact that the sensors may suffer from uncorrected pointing biases, and also that not all of the sensors will necessarily acquire tracks on all of the objects. Physical Sciences Inc. proposes to improve the performance of the system track correlation process by incorporating time series signature data from the sensors in order to augment the existing distance-based track association metrics that are already currently in use by the system.

Principal Investigator:

Andrew L. Stachyra
Principal Research Scientist
(978) 738-8182

Business Contact:

B. D. Green
President and CEO
(978) 689-0003
Small Business Information at Submission:

Physical Sciences Inc.
MA Andover, MA 01810-1077

EIN/Tax ID: 042517090
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No