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Model-Aided Localization and Navigation for Underwater Gliders Using Single-Beacon Travel-Time Differences.

Jie Sun1,2,3, Feng Hu1,2, Wenming Jin1,2

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Summary

This study introduces an improved underwater glider localization method using an extended Kalman filter (EKF) and modified motion models. The enhanced approach improves position estimation accuracy for autonomous underwater vehicles (AUVs).

Keywords:
EKF estimationRTS smoothingmodified kinematic modeltravel-time differenceunderwater gliders

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Area of Science:

  • Robotics
  • Oceanography
  • Navigation Systems

Background:

  • Accurate localization and navigation are crucial for autonomous underwater vehicles (AUVs) in underwater environments.
  • Underwater gliders face challenges in modeling and measurement due to limited maneuverability and payload capacity.
  • Existing methods often struggle with the complexities of underwater glider dynamics.

Purpose of the Study:

  • To propose an enhanced extended Kalman filter (EKF)-based method for improved underwater glider localization.
  • To develop a modified kinematic model that accounts for underwater glider motion dynamics.
  • To integrate a novel measurement approach using travel-time differences for robust position estimation.

Main Methods:

  • Modified underwater glider kinematic model incorporating attack and drift angles and depth-averaged currents.
  • Utilized travel-time differences from a single beacon as measurements, bypassing synchronization needs.
  • Integrated the Rauch-Tung-Striebel (RTS) smoothing method with the EKF to minimize estimation errors.

Main Results:

  • The proposed RTS-EKF method demonstrated improved position estimation performance compared to traditional motion model estimates.
  • Significant performance gains were observed, particularly a 46% improvement at inflection points in simulations.
  • The method effectively handles the unique challenges of underwater glider navigation.

Conclusions:

  • The developed EKF-based method with a modified kinematic model and RTS smoothing offers a more accurate solution for underwater glider localization.
  • The novel measurement strategy using travel-time differences enhances reliability in underwater navigation.
  • This research contributes to advancing the capabilities of autonomous underwater vehicles in complex marine environments.