Experiments with the REMUS AUV

Abstract

This thesis centers on actual field operations and post-mission analysis of data acguired using a REMUS AUV operated by tbe Naval Postgraduate School center for Autonomous Underwater Vehicle Research. It was one of many platforms tbat were utilized for data collection during AOSN II, (Autonomous Oceanograpbic Sampling Network II), an ONR sponsored exercise for dynamic oceanograpnic data taking and model based analysis using adaptive sampling. Tbe vebicle's ability to collect oceanograpnic data consisting of conductivity, temperature, and salinity during tbis experiment is assessed and problem areas investigated. Of particular interest are the temperature and salinity profiles measured from long transect runs of 18 Km. length into tbe soutbern parts of Monterey Bay. Experimentation witn tne REMUS as a mine detection asset was also performed. Tbe design and development of the mine hunting experiment is discussed as well as its results and tneir analysis. Of particular interest in tbis portion of tne work is tne issue relating to repeatability and precision of contact localization, obtained from vehicle position and sidescan sonar measurements.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2004
Accession Number
ADA424586

Entities

People

  • Matthew D. Phaneuf

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Acoustic Navigation
  • Autonomous Underwater Vehicles
  • Coordinate Systems
  • Dead Reckoning
  • Detection
  • Detectors
  • Global Positioning Systems
  • Graphical User Interface
  • Iraqi-War
  • Measurement
  • Mechanical Engineering
  • Navigation
  • Seabed
  • Underwater Acoustics
  • Underwater Vehicles
  • Unmanned Underwater Vehicles
  • Unmanned Vehicles

Readers

  • Acoustical Oceanography.
  • Inertial Navigation Systems.
  • Regression Analysis.