An Information Theoretic Approach to Interacting Multiple Models Estimation for Autonomous Underwater Vehicles

Abstract

Accurate and robust autonomous underwater navigation (AUV) requires the fundamental task of position estimation in a variety of conditions. Additionally, the U.S. Navy would prefer to have systems that are not dependent on external beacon systems such as global positioning system (GPS), since they are subject to jamming and spoofing and can reduce operational effectiveness. Current methodologies such as Terrain-Aided Navigation (TAN) use exteroceptive imaging sensors for building a local reference position estimate and will not be useful when those sensors are out of range.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2022
Accession Number
AD1213804

Entities

People

  • Timothy J. Ii Howarth

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Bayesian Networks
  • Computational Complexity
  • Computational Science
  • Data Mining
  • Inertial Navigation
  • Information Processing
  • Information Science
  • Kalman Filters
  • Mathematical Filters
  • Monte Carlo Method
  • Navigation
  • Network Science
  • Sequential Monte Carlo Methods
  • Signal Processing
  • Surveys
  • Three Dimensional
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Positioning, Navigation, and Timing (PNT) Technology.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Space