RF-IR Data Fusion

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-13-C-7184
Agency Tracking Number: B12A-002-0010
Amount: $99,997.00
Phase: Phase I
Program: STTR
Awards Year: 2013
Solicitation Year: 2012
Solicitation Topic Code: MDA12-T002
Solicitation Number: 2012.A
Small Business Information
325 Bob Heath Drive, Huntsville, AL, -
DUNS: 121016096
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Enrico Poggio
 Principal INvestigator
 (256) 489-6111
Business Contact
 Debbie Agarwal
Title: Vice President, Contracts
Phone: (256) 489-6193
Email: dagarwal@dbresearch.net
Research Institution
 University of Tennessee-Knoxville
 Mongi Abidi
 203 Min Kau Building
Knoxville, TN, 37996-
 (865) 696-0409
 Nonprofit college or university
The development and integration of three unique and innovative algorithm prototypes into a"Fused Track and Characterization Schema"are proposed. This Schema will encompass the determination of signatures and characteristics of objects that can be identified by RF and EO/IR Sensors in order to enable multi-sensor data fusion and correlation. The first algorithm, the"3D Pose Estimation"Algorithm, permits track and correlation of multiple objects using multisensory EO/IR data measurements. The second algorithm,"Wager"correlates multiple RF and sensor measurements with the EOIR"Pose"solution to generate system level tracks."Wager"is based on automated Best Estimate of Truth methods. The third algorithm,"Fused TASM"uses fused Target Attributes Surface Manifold Classifiers to characterize and associate targets across multiple sensors. TASM Classifiers, inherently by design, embed physical relationships between multiple sensor phenomenologies. The TASM Classifier construction is based on advanced Computer Graphics NURBS methods.

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

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