Sensor Data Fusion

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$100,000.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
HQ0147-11-C-7616
Award Id:
n/a
Agency Tracking Number:
B103-001-0277
Solicitation Year:
2010
Solicitation Topic Code:
MDA10-001
Solicitation Number:
2010.3
Small Business Information
CA, Goleta, CA, 93117-3021
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
054672662
Principal Investigator:
CharleneAhn
Senior Analyst
(805) 968-6787
cahn@toyon.com
Business Contact:
MarcellaLindbery
Director of Finance
(805) 968-6787
mlindbery@toyon.com
Research Institute:
Stub




Abstract
The MDA mission requires the use of data fusion to obtain accurate and persistent tracks of threatening objects discriminated from debris/countermeasures in order to provide an integrated picture of the battle space as well as fire control solutions to interceptors. A wide variety of information may be available for integration, including multiple sensor measurements, features, and track states; combining all these can improve track identification, association and accuracy, especially in the challenging MDA environment. Toyon Research Corporation proposes a dual-layer solution for data fusion for both short-term individual measurement associations and longer-term track-to-target associations. A Multiple Hypothesis Tracker (MHT) will be used in conjunction with a Bayesian network to model feature information and possible inferences in a way that promotes improved measurement-to-track association. Toyon"s Fusion and Correlation for Tracked Object Retention (FACTOR) system will handle track fusion and feature database management/track stitching algorithms. The FACTOR system has been tested and validated in other environments and will be adapted for the MDA picture, and a semi-supervised learning algorithm to help fuse features will be added. Toyon will design a test scenario with multiple short- and medium-range attacks from multiple launch sites in order to test these algorithms.

* information listed above is at the time of submission.

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