A Bayesian Network Model for Tracking in Support of Discrimination

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$749,137.00
Award Year:
2003
Program:
SBIR
Phase:
Phase II
Contract:
N0017804C3007
Award Id:
58881
Agency Tracking Number:
02-0008
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
PO Box 271246, Ft. Collins, CO, 80527
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
956324362
Principal Investigator:
Aubrey Poore
President
(970) 419-8343
abpoore@numerica.us
Business Contact:
Jeff Poore
Vice President
(970) 419-8343
jbpoore@numerica.us
Research Institute:
n/a
Abstract
The objective of the Ballistic Missile Defense System (BMDS) is todetect, identify, and track targets using sensor observations, andengage the lethal objects using interceptors.To achieve the desired level of effectiveness, the system mustdistinguish between the lethal and non-lethal objects.Object identification is performed by a discrimination systemthat relies on a tracking system to associate measurement data to eachobject being tracked.In missile defense, the presence of many closely spaced objectsresulting from debris and countermeasures makes the associationprocess very difficult.If the data association is not perfect and the resulting uncertaintyin the association is not known, then discrimination systemperformance falters.The Phase I project identified the measures of uncertainty relevant tothe discrimination process and developed an initialBayesian Network Probabilistic Tracker (BNPT) to assess thefeasibility of extracting these measures of uncertainty from aMultiple Frame Assignment (MFA) Tracker or aMultiple Hypothesis Tracker (MHT).The proposed Phase II project will develop a full-featured BNPT,integrate the BNPT with an MFA Tracking System, and develop acomprehensive querying interface.Such a BNPT/MFA system can fully support theProject Hercules Decision Architectureand represents the next generation tracking system.

* information listed above is at the time of submission.

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