Development of Low Cost Underwater Navigation Systems

Abstract

The long term goal of this work is to further the technology of autonomous underwater systems for minefield reconnaissance/mapping/neutralization. This particular project is aimed at improvements to low cost navigation systems using COTS equipment using extended Kalman filtering and sensor bias learning and compensation. Other related work includes the study of autonomous fault detection and compensation, as well as sea state learning for use in motion planning and oceanographic survey.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1998
Accession Number
ADA537596

Entities

People

  • Anthony J. Healey

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Autonomous Underwater Vehicles
  • Compensation
  • Dead Reckoning
  • Detection
  • Detectors
  • Errors
  • Filtration
  • Information Science
  • Kalman Filtering
  • Kalman Filters
  • Motion Planning
  • Navigation
  • Surveys
  • Systems Science
  • Underwater Navigation
  • Underwater Vehicles
  • Vehicles

Readers

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