Multiple Sensor Credit Apportionment

Abstract

Methods to individually allocate credit to multiple sensors assist Army decision makers during Objective Force development and integration. Sensor credit apportionment supports a knowledge-based common operating picture by providing a means to assess and compare the variety of automated and human sources that contribute to the common operating picture (U.S. Army White Paper, 2001). This thesis develops and assesses such a method. The method determines the contribution of individual sensors (person or platform that provides specific target information) to successful commander decision making. The method utilizes data fusion, decision analysis, and information quality to credit each sensor according to the benefit they provide a commander. A stochastic simulation provides the means to generate an environment in which to test and compare sensor performance, and to assess the credit apportionment method.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADA405852

Entities

People

  • Mason W. Crow

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programs
  • Data Fusion
  • Detection
  • Experimental Design
  • Miss Distance
  • New York
  • Operations Research
  • Probability
  • Probability Distributions
  • Simulations
  • Situational Awareness
  • Standards
  • Target Detection
  • United States
  • United States Military Academy
  • Unmanned Aerial Vehicles

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Government and Public Administration Law.
  • Life Cycle Cost Analysis