Using Agent-Based Modeling to Search for Elusive Hiding Targets

Abstract

The SCUD hunt problem that emerged during Operation Desert Storm has become a source of great interest to major commands like Air Combat Command. One of the metrics used to measure the effectiveness of our operations in a SCUD hunt is time to detect and target. We use the agent-based System Effectiveness and Analysis Simulation (SEAS) to provide a simulation environment in which all the elements of a SCUD hunt mission can adequately be modeled. Our Blue Force agents are modeled as multirole fighters, satellites and unmanned aerial vehicles (UAV) with various sensor capabilities. The Red Force agents are modeled as the SCUD transporter/erector/launcher (TEL). Particular interest is paid to the effectiveness of various sensors modeled in a set of scenarios following an experimental design. Four measures of performance (MOP) were fashioned to provide insight into the contribution of sensors at work in a SCUD hunt. These MOPs were evaluated to show any statistically significant differences between various mixes of sensors.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2006
Accession Number
ADA446175

Entities

People

  • Jeffrey E. Rucker

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Air Force
  • Aircrafts
  • Airframes
  • Computer Programming
  • Experimental Design
  • Fighter Aircraft
  • Ground Moving Target Indicators
  • Information Science
  • Mathematical Models
  • Military Applications
  • Military Science
  • Operations Research
  • Programming Languages
  • Test And Evaluation
  • Unmanned Aerial Vehicles
  • Warfare

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Missile Defense Systems.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy
  • Autonomy - UAVs
  • Space
  • Space - Spacecraft Maneuvers