An Integrated Command and Control Architecture Concept for Unmanned Systems in the Year 2030

Abstract

U.S. Forces require an integrated Command and Control Architecture that enables operations of a dynamic mix of manned and unmanned systems. The level of autonomous behavior correlates to: 1) the amount of trust with the reporting vehicles, and 2) the multi-spectral perspective of the observations. The intent to illuminate the architectural issues for force protection in 2030 was based on a multi-phased analytical model of High Value Unit (HVU) defense. The results showed that autonomous unmanned aerial vehicles are required to defeat high-speed incoming missiles. To evaluate the level of autonomous behavior required for an integrated combat architecture, geometric distributions were modeled to determine force positioning, based on a scenario driven Detect-to-Engage timeline. Discrete event simulation was used to schedule operations, and a datalink budget assessment of communications to determine the critical failure paths in the integrated combat architecture. The command and control principles used in the integrated combat architecture were based on Boyd's OODA (Obseve, Orient, Decide, and Act) Loop. A conservative fleet size estimate, given the uncertainties of the coverage overlap and radar detection range, a fleet size of 35 should be anticipated given an UAV detection range of 20km and radar coverage overlap of 4 seconds.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA524154

Entities

People

  • Bradley G. Thompson
  • Drew J. Nilsson
  • Jamarr J. Johnson
  • Keith B. Quincy
  • Michael G. Moran

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Cyber
  • Electronic Warfare
  • Ground and Sea Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Autonomous Guidance
  • Climate Change
  • Cognitive Systems Engineering
  • Control Systems
  • Ground Control Stations
  • Lithium Ion Batteries
  • Materials Science
  • Military Applications
  • Military History
  • Military Science
  • Multiple Access
  • Systems Engineering
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control