Employment Of Intelligence, Surveillance, And Reconnaissance Drone Swarms To Enhance Ground Combat Operations

Abstract

On August 27, 2015, the Naval Postgraduate Schools (NPS) Advanced Robotic Systems Engineering Laboratory flew 50 autonomous drones simultaneously. This demonstration proved that autonomous drone swarm technology is evolving at a daunting pace and drone deployment and control can now be done en mass. As academia, industry, and defense sectors continue to miniaturize sensors and enhance swarm operating systems, the transition from demonstrations to tactical employment will occur quickly. Doing so efficiently requires dedicatedefforts to determine swarm sensor requirements and employment tactics, techniques, and procedures. This thesisuses agent-based simulation, cutting-edge design of experiments, and parallel computing to thoroughly exploredrone swarm employment in support of a Marine infantry company. The scenario is a deliberate clearing mission, based on real events, in which an infantry company fights a peer enemy in restricted terrain. Analysis of the dataobtained from 30,000 simulated missions reveals that, on average, the drone swarms enable the fire support team to target and engage twice as many enemy combatants when compared to the current ISR drone available at the company level. For the hierarchical swarm, this results in up to 50 fewer U.S. casualties. Data analysis and visual study of the emergent swarm also shows that the volume of the swarm, coupled with inherent sensor overlap, results in the largest reduction in sensor requirements.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2018
Accession Number
AD1059885

Entities

People

  • Nathan J. Gulosh

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Cyber
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Aircrafts
  • Computer Programs
  • Control Systems
  • Data Analysis
  • Employment
  • Ground Control Stations
  • Information Systems
  • Mathematical Models
  • Military Applications
  • Military Science
  • Operating Systems
  • Swarming Technologies
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Weapons Effects

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Maritime Combat Support and Expeditionary Logistics.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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