On the Use of Entropy for Optimal Radar Resource Management and Control

Abstract

The use of information entropy as a quantitative measure of uncertainty for radar resource management and control objectives is explored and applied to issues of current interest. It is seen to be rigorous and objective, and therefore potentially superior to heuristic, rule-based approaches for problems that can be formulated in probabilistic terms. It is particularly appropriate for sensor systems in general that have as their objective the acquisition of information, but which are dominated by uncertainty and subject to time and resource constraints. Two applications of this control and management methodology are presented in this paper: the optimal scheduling of track updates in a multifunction phased array radar (PAR), and the optimal tasking of a constellation of synthetic aperture radar (SAR) satellites for tracking maritime targets.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 14, 2005
Accession Number
ADA445310

Entities

People

  • David A. Fogg
  • Paul E. Berry

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Satellites
  • Detection
  • Detectors
  • Equations
  • False Alarms
  • Kalman Filters
  • Phased Array Radar
  • Phased Arrays
  • Probability
  • Probability Distributions
  • Random Variables
  • Resource Management
  • Surveillance
  • Synthetic Aperture Radar
  • Target Tracking
  • Warning Systems

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Space
  • Space - Space Objects
  • Space - Spacecraft Maneuvers