An Analysis of the Tactical Unmanned Vehicle During Amphibious Assault Combat Operations Using the JCATS Combat Model.

Abstract

The Unmanned Ground Vehicle/System Joint Project Office is currently developing a family of untanned ground systems that may have the potential to give the ground combat commander the ability to gain a decisive advantage in the battle for information dominance. By harnessing the power of robotics in a reconnaissance, surveillance and target acquisition role, the UGV is designed to provide the maneuver battalion commander with the ability to extend his influence beyond the capabilities of traditional scouts. This thesis examined the Unmanned Ground Vehicle Medium (UGVM) using the Joint Conflict and Tactical Simulation (JCATS) model to evaluate the impact of changes to performance characteristics of the system. The scenario used for the simulation was based on Exercise KERNEL BLITZ (KB), a biennial joint amphibious operation conducted on the West Coast of the United States. The UGVM's communication limitations and speed were varied in the JCATS simulations. Measures of effectiveness (MOEs) for these changes included total blue detections, blue detections over time, total blue kills, and blue losses over time.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1999
Accession Number
ADA366096

Entities

People

  • John F. America

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acquisition
  • Amphibious Operations
  • Combat Operations
  • Databases
  • Detection
  • Detectors
  • Ground Vehicles
  • Information Science
  • Military Science
  • Statistical Analysis
  • United States
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles
  • Warfare

Readers

  • Military History / Militaries and War Studies
  • Military Training and Readiness Simulation
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs