Effectiveness Measurements for the Distributed Data Fusion Problem

Abstract

This report surveys measures of effectiveness applicable to data fusion systems addressing Level 1 of the taxonomy of data fusion processes identified by the Joint Directors of Labs Data Fusion Subpanel, particularly as these measures apply to the detection, association, and localization subproblems, with less attention paid to the classification subproblem. The measures are presented starting with those applicable to the simplest fusion systems and ending with the most complex type, i.e., the multiple-target, multiple-sensor, multiple-hypothesis, distributed data fusion system. The applicability of each and their shortcomings are discussed, with the perspective oriented toward applications involving Navy antisubmarine warfare.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1994
Accession Number
ADA283084

Entities

People

  • J. Pack
  • V. Broman

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computations
  • Computer Programs
  • Coordinate Systems
  • Data Association
  • Data Fusion
  • Detection
  • Detectors
  • Measures Of Effectiveness
  • Multiple Targets
  • Ocean Surveillance
  • Probability
  • Probability Density Functions
  • Surveillance
  • Targets
  • Two Dimensional

Readers

  • Operations Research
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design