Hardware Integration of the Small Autonomous Underwater Vehicle Navigation System (SANS) Using a PC/104 Computer.

Abstract

At the Naval Postgraduate School (NPS), a small AUV navigation system (SANS) has been developed for research in support of shallow-water mine countermeasures and coastal environmental monitoring. The objective of this thesis is to develop a new version of SANS, aimed at reducing size and increasing reliability by utilizing state-of-the-art hardware components. The new hardware configuration uses a PC/104 computer system, and a Crossbow DMU-VG Six-Axis Inertial Measurement Unit (IMU). The PC/104 computer provides more computing power and more importantly, increases the reliability and compatibility of the system. Replacing the old IMU with a Crossbow IMU' eliminates the need for an analog-to-digital (A/D) converter, and thus reduces the overall size of the SANS. The new hardware components are integrated into a working system. A software interface is developed for each component. An asynchronous Kalman filter is implemented in the current SANS system as a navigation filter. Bench testing is conducted and indicates that the system works properly. The new components reduce the size of the system by 52% and increase the sampling rate to more than 80Hz.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1999
Accession Number
ADA362203

Entities

People

  • Kadir Akyol

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Autonomous Underwater Vehicles
  • Computer Programs
  • Computers
  • Converters
  • Dead Reckoning
  • Digital Data
  • Global Positioning Systems
  • Grids
  • Inertial Measurement Units
  • Inertial Navigation
  • Inertial Navigation Systems
  • Measurement
  • Navigation
  • Reliability
  • Two Dimensional
  • Underwater Vehicles
  • Unmanned Vehicles

Readers

  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Inertial Navigation Systems.