Evaluating the Combined UUV Efforts in a Large-Scale Mine Warfare Environment

Abstract

The current surface mine countermeasures (MCM) fleet is aging, yet there are no viable systems to replace it. The U.S. Navy requires an improved minehunting platform, and unmanned underwater vehicles (UUVs) can meet that need. In order to attain enough UUVs and operators to make these missions successful, the United States must rely on the participation of allies to provide these assets. This study assesses the key decision factors in mine clearance operations using UUVs of differing capabilities. It uses a discrete-event simulation to model the performance of UUVs in a large-scale MCM operation. Data is generated using a state-of-the-art design of experiments and analyzed to find the best tasking plan for the scenario. The results show that with proper tasking, UUVs with lesser ability levels can be used appropriately and still produce acceptable levels of mine clearance, usually more quickly than a smaller cadre of highly capable vehicles. This study finds UUV altitude, track spacing, number of passes, and search speed to be decision factors that influence minehunting results, while track spacing, number of passes, search speed, and resupply are influential factors that effect mission completion times.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2015
Accession Number
ADA620667

Entities

People

  • Andrew R. Thompson

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Countermeasures
  • Detection
  • Experimental Design
  • Monte Carlo Method
  • Naval Mines
  • Naval Operations
  • Naval Warfare
  • Navy
  • Operations Research
  • Seabed
  • Underwater Vehicles
  • United States
  • Unmanned Maritime Systems
  • Unmanned Systems
  • Unmanned Underwater Vehicles
  • Unmanned Vehicles

Readers

  • Acoustical Oceanography.
  • Aerospace Engineering
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy
  • Autonomy - UAVs
  • Space