Post Detection Target State Estimation Using Heuristic Information Processing - A Preliminary Investigation

Abstract

This report discusses methods of using heuristically derived representations of uncertainty to improve the performance of military command and control systems. Two algorithms are derived to permit system operators to define and evolve non-parametric probability density functions. These algorithms have been instrumented on an interactive computer-graphics system. This preliminary effort is posed as an initial step of a more extended research and development program.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1977
Accession Number
ADA068965

Entities

People

  • Gary W. Irving
  • George J. Rebane
  • Michael D. Schechterman
  • Walter C. Gish

Tags

Communities of Interest

  • C4I
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Birds
  • Command And Control
  • Computational Science
  • Computer Graphics
  • Computers
  • Control Systems
  • Data Processing
  • Databases
  • Information Processing
  • Information Science
  • Interactive Graphics
  • Probability
  • Probability Density Functions
  • Probability Distributions

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control