Advanced Multisensor Fused Track and Discrimination Architecture

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-06-C-7506
Agency Tracking Number: B064-003-0054
Amount: $99,472.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: MDA06-T003
Solicitation Number: N/A
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-08-23
Award End Date (Contract End Date): 2007-02-23
Small Business Information
PO Box 5368, Huntsville, AL, 35814
DUNS: 121016096
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Enrico Poggio
 Chief Scientist
 (256) 489-6124
Business Contact
 Eric Cochran
Title: Chief FInancial Officer
Phone: (256) 489-6125
Research Institution
 A. L Evelyn
 P.O. Box 313
Huntsville, AL, 35762
 (256) 372-8713
 Domestic nonprofit research organization
This effort proposes to design and demonstrate the concept of an innovative, Advanced BMDS Multisensor Fused Track and Discrimination Architecture that will enhance the generation of a Single Integrated Picture of the Battlespace. This Architecture permits enhancement of sensor-to-sensor track correlation handover of objects while characterizing their lethality for later target designation purposes. This Architecture generates a “Fused Object Dossier” of estimated “true” physical attributes, such as size, shape, and motion parameters. The “true” physical attributes from the Dossier can combined with multisensor state vector data to create a “Super State Vector (SSV)” resulting in enhanced object correlations. The significant innovation permitting the generation of the Dossier and the SSV is an object angular momentum vector direction (AMVD) estimation algorithm, the focus of this Phase I effort. Knowledge of the AMVD permits calculation of the momentum aspect angle at any time during the mission resulting in the conversion of features, such as apparent length, into a true length estimates. This enables the correlation of multiple sensor tracks on the same object being associated with the same “true” physical attributes, resulting in more robust correlations. This will be demonstrated using simulated, high fidelity radar returns generated using deciBel Research “dB_Tools”.

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

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