REDUCING AND SPEEDING COMPUTATION IN DISTRIBUTED DATA FUSION

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$59,029.00
Award Year:
1994
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
25546
Agency Tracking Number:
25546
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Station Square Two, Paoli, PA, 19301
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Barry Belkin
(610) 644-3400
Business Contact:
() -
Research Institute:
n/a
Abstract
One of the primary Engagement Planning Processing Suite (EPPS) functions is to develop multisensor threat object tracks based on the local track estimates developed independently by the sensors and communicated to the EPPS nodes. The EPPS distributed system architecture affords a high level of system survivability and tracking/targeting accuracy but at the cost of potentially massive communications and data processing requirements. The focus of our proposed Phase I effort is to explore methods to significantly reduce both the volume of data communicated across the EPPS system links and the time required to perform the track fusion processing at the EPPS nodes. Our objectives are to investigate how information doman methods can be used to reduce the flow of local track data from the sensors to the EPPS nodes. And to explore methods for parallelizing the track fusion computations at the EPPS nodes.

* information listed above is at the time of submission.

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