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PMHT Track Fusion for ABIR

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-11-C-7624
Agency Tracking Number: B103-001-0589
Amount: $99,986.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: MDA10-001
Solicitation Number: 2010.3
Solicitation Year: 2010
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-05-18
Award End Date (Contract End Date): N/A
Small Business Information
12131 Howards Mill Road
Glen Allen, VA -
United States
DUNS: 158861240
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Darin Dunham
 Senior Research Engineer
 (804) 749-8750
Business Contact
 Darin Dunham
Title: President
Phone: (804) 749-8750
Research Institution

Fusing data together for target tracking is a complex problem. There are two elements: First, the raw observations must be associated with existing tracks or used to form new tracks. Once the association has been done, then the tracks can be updated and filtered with the new data. When associating data (either measurements or tracks or both) with existing tracks, the separation between the tracks is critical to how difficult the association decisions will be. If the tracks are widely separated then the association decisions can be relatively easy. On the other hand, when the tracks are closely spaced the association decisions can be very difficult or nearly impossible. At any rate, these and other concerns roil the current battle space for ballistic missile defense. This proposal will explore the fusing of ABIR data from a few sensors in order to provide to the C2BMC a reliable and consistent set of tracks. We are proposing to solve this problem by using a probabilistic Bayesian approach with the Probabilistic Multi-Hypothesis Tracker (PMHT). Using a probabilistic approach will mitigate the computation numerations that occur when there is significant uncertainty in association decisions.

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

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