Investigation of Requirements and Capabilities of Next Generation Mine Warfare Unmanned Underwater Vehicles

Abstract

This report identifies the system characteristics that have the largest impact on mine counter-measure (MCM) unmanned underwater vehicle (UUV) performance. Model-based systems engineering (MBSE) tools, including functional flow block diagrams and functional hierarchies, are used to logically define MCM UUV operations and support the development of alternative concepts of operations. A discrete event simulation is used to model operations for a design of experiments selected set of system characteristic combinations. Statistical analysis is applied to simulation outputs to identify UUV design characteristics with the most significant impact on the time taken for an MCM UUV to perform the detect and classify mission. The main conclusions of this study are that the most important system characteristics for MCM UUVs are UUV travel speed and sensor width, and that bandwidth limitations for subsurface communications eliminate expected benefits of constant communication between UUVs and their parent vessels.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2017
Accession Number
AD1053456

Entities

People

  • Ali Olinger
  • Daniel Herrington
  • David Galindo
  • James Sovel
  • Jeffrey Wade
  • Miguel Camacho
  • Peter Walker
  • Thomas M Johnson
  • William Stith

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Antisubmarine Warfare
  • Autonomous Underwater Vehicles
  • Cognitive Systems Engineering
  • Data Transmission
  • Directed Energy Weapons
  • Experimental Design
  • High Power Microwaves
  • Model Based Systems Engineering
  • Naval Mines
  • Naval Operations
  • Naval Warfare
  • Navy
  • Systems Engineering
  • Underwater Vehicles
  • Unmanned Maritime Systems
  • Unmanned Underwater Vehicles
  • Unmanned Vehicles

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Regression Analysis.
  • Software Engineering.

Technology Areas

  • Autonomy