RF-IR Data Fusion

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$99,997.00
Award Year:
2013
Program:
STTR
Phase:
Phase I
Contract:
HQ0147-13-C-7184
Award Id:
n/a
Agency Tracking Number:
B12A-002-0010
Solicitation Year:
2012
Solicitation Topic Code:
MDA12-T002
Solicitation Number:
2012.A
Small Business Information
325 Bob Heath Drive, Huntsville, AL, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
121016096
Principal Investigator:
Enrico Poggio
Principal INvestigator
(256) 489-6111
contracts@dbresearch.net
Business Contact:
Debbie Agarwal
Vice President, Contracts
(256) 489-6193
dagarwal@dbresearch.net
Research Institute:
University of Tennessee-Knoxville
Mongi Abidi
203 Min Kau Building
Knoxville, TN, 37996-
(865) 696-0409
Nonprofit college or university
Abstract
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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