Optimizing Track-to-Track Data Fusion for Variable Cases

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$80,000.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
N68335-11-C-0347
Agency Tracking Number:
N111-016-0861
Solicitation Year:
2011
Solicitation Topic Code:
N111-016
Solicitation Number:
2011.1
Small Business Information
Toyon Research Corp.
CA, Goleta, CA, 93117-3021
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
054672662
Principal Investigator:
Craig Agate
Senior Analyst
(805) 968-6787
cagate@toyon.com
Business Contact:
Marcella Lindbery
Director of Contracts
(805) 968-6787
mlindbery@toyon.com
Research Institution:
Stub




Abstract
Many Intelligence, Surveillance, and Reconnaissance (ISR) systems involve combining track data from multiple sources, leading to an improved track picture. A multitude of track fusion algorithms exist, some of which require significant computational resources and have difficulty running in real-time when thousands of tracks must be maintained. Ideally, we would like to evaluate the utility of the various track fusion algorithms for a particular system. An analysis of different track fusion algorithms based on real data from the ISR system in which they will be deployed would yield the most accurate assessment of track fusion performance; however, this requires data from real experiments, which is often difficult to obtain in any quantity. An alternative is to test and evaluate algorithms within a simulated environment that can model to some degree of realism the conditions under which the system will operate (and can vary those conditions to conduct thorough trade studies). On this effort, Toyon will develop a prototype ISR system evaluation tool that combines our scenario simulation application, tracking applications, track fusion application, and performance analysis tools into a software system for evaluating track fusion performance under varying conditions (and algorithm choices) for an ISR system such as the BAMS.

* information listed above is at the time of submission.

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