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Performance evaluation methods for data-fusion capable tactical platforms

  • Satyaki Ghosh Dastidar
  • , Kedar Sambhoos
  • , James Llinas
  • , Christopher Bowman
  • SUNY Buffalo
  • Data Fusion and Neural Networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Relatively little research has been done so far to define a technically fair yet affordable method for performance evaluation (PE) for data fusion (DF) processes. PE methodology is required to evaluate performance of alternative DF process designs that are being developed to handle the increasing complexity of modern day applications. This paper addresses the distributed fusion problem and gives quantitative insights into the interdependencies and the consistency measures between distributed fusion measures of performance. Building on our prior works, our recommended PE methodology based upon the Dual Node Network (DNN) DF & Resource Management (DF&RM) Architecture is employed herein in a case study involving track picture consistency across multiple platforms. This research focuses in particular on Distributed Level 1 DF PE applications for the Air Force Flight Test Center (AFFTC), in support of new test and evaluation procedures that will be required for advanced, fusioncapable tactical aircraft.

Original languageEnglish
Title of host publication2005 7th International Conference on Information Fusion, FUSION
PublisherIEEE Computer Society
Pages1427-1435
Number of pages9
ISBN (Print)0780392868, 9780780392861
DOIs
StatePublished - 2005
Event2005 8th International Conference on Information Fusion, FUSION - Philadelphia, PA, United States
Duration: Jul 25 2005Jul 28 2005

Publication series

Name2005 7th International Conference on Information Fusion, FUSION
Volume2

Conference

Conference2005 8th International Conference on Information Fusion, FUSION
Country/TerritoryUnited States
CityPhiladelphia, PA
Period07/25/0507/28/05

Keywords

  • Distributed data fusion
  • Dual node network architecture
  • Performance evaluation

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