REDUCING AND SPEEDING COMPUTATION IN DISTRIBUTED DATA FUSION

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: N/A
Agency Tracking Number: 25546
Amount: $59,029.00
Phase: Phase I
Program: SBIR
Awards Year: 1994
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Daniel H. Wagner Assoc Inc.
Station Square Two, Paoli, PA, 19301
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Barry Belkin
 (610) 644-3400
Business Contact
Phone: () -
Research Institution
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.

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government