A Bayesian Network Model for Tracking in Support of Discrimination

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-02-C-0015
Agency Tracking Number: 02-0008
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
PO Box 271246, Ft. Collins, CO, 80527
DUNS: 956324362
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Aubrey Poore
 President
 (970) 419-8343
 poore@numericainc.com
Business Contact
 Jeff Poore
Title: Vice President
Phone: (970) 419-8343
Email: jpoore@numericainc.com
Research Institution
N/A
Abstract
"The success of hit-to-kill missile defense systems depends on correct discrimination of an entire collection of tracks. A number of organizations are now building Bayesian Network (BN) system models that assume near-perfect tracking knowledge, and theseBNs use single tracks and collections of tracks to define their inputs. An additional capability in support of this effort is the modeling of imperfections that occur in most realistic tracking systems, such as misassociaqtions, track termination andreinitiation, track spawning, track switching, and spurious and redundant tracks. On the other hand, Numerica is developing a Multi-Frame Assignment (MFA) tracker as a state-of-the-art tracking systems for BMD applications, but this tracking system doesnot perform target discrimination.Currently, the following issues need to be addressed: (1) inclusion of tracking knowledge in the system model, (2) reasoning using collections of tracks to understand the situation and to enhance the discrimination results, (3) incorporating results of thereasoning process to enhance tracking.To address these three issues, Numerica will first represent track imperfections in a BN. Second, Numerica will design an interface between the tracking system and the discrimination system such that the discrimination process starts, evolves, and reachesa conclusion. Numerica, Inc. has a very successful record of developing algorithms(specifically in the target trac

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

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