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Advanced Data Fusion Using Bayesian Track-Before-Detect

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-07-C-7663
Agency Tracking Number: B064-003-0033
Amount: $999,980.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: MDA06-T003
Solicitation Number: N/A
Timeline
Solicitation Year: 2006
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-09-19
Award End Date (Contract End Date): 2009-09-19
Small Business Information
12131 Howards Mill Road
Glen Allen, VA 23059
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
 darin@vectraxx.com
Business Contact
 Darin Dunham
Title: President
Phone: (804) 749-8750
Email: darin@vectraxx.com
Research Institution
 UNIV. OF CONNECTICUT
 Peter Willett
 
371 Fairfield Rd, U-2157
Storrs, CT 6269
United States

 (860) 486-2195
 Nonprofit College or University
Abstract

We are proposing adding several enhancements to this new version of the Multi-Frame Probabilistic Multi-Hypothesis Tracker (MF-PMHT) in order to ready it for testing in the Ballistic Missile Defense (BMD) Benchmark and the X-Lab. During this effort a working prototype will be developed that will include multiple models, track management (initiation, deletion, splitting, and merging), covariance consistency, single track picture across platforms (SIAP), discrimination, bias estimation, launch point estimation, impact point prediction, and track-to-track fusion. The track-to-track fusion will be necessary for cases when measurement fusion is not available or feasible given the communication constraints. In addition, work will be done with the MF-PMHT in the SkyLOS sensor simulation both inside and outside of the BMD Benchmark. This work will prove the robust capability of this developing algorithm that is showing results that place it in a very competitive position both in terms of tracking performance and computational complexity.

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

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