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Underwater Localization System Combining iUSBL with Dynamic SBL in ¡VAMOS! Trials.

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Summary
This summary is machine-generated.

Accurate underwater positioning is crucial for mining operations. This study introduces a novel solution combining short baseline (SBL) and inverted ultrashort baseline (iUSBL) systems for precise localization of underwater vehicles.

Keywords:
AUV navigationEKFSBLdata fusionestimationiUSBLunderwater localizationunderwater mining

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Area of Science:

  • Marine robotics
  • Underwater navigation
  • Geophysical exploration

Background:

  • Underwater mining in flooded open pit mines presents unique localization challenges.
  • Standard acoustic positioning methods are often inadequate for these complex environments.
  • Real-time, multi-asset positioning is essential for operational success.

Purpose of the Study:

  • To develop and validate a novel underwater localization solution for the VAMOS! project.
  • To address the limitations of existing positioning techniques in cluttered underwater mining scenarios.
  • To achieve accurate 6-DOF localization of an underwater mining vehicle.

Main Methods:

  • Fusion of Inertial Measurement Unit (IMU) data, pressure, SBL ranges, and iUSBL directional angles using an Extended Kalman Filter (EKF).
  • Indirect estimation of sensor bias and sound speed within the EKF.
  • Implementation of a data association layer and dynamic SBL master selection to mitigate acoustic outliers and multipath reflections.

Main Results:

  • Successful field demonstration of the novel localization technique during VAMOS! underwater mining trials.
  • Accurate 6-DOF localization of the underwater mining vehicle was achieved.
  • Effective mitigation of acoustic outliers in challenging, confined environments.

Conclusions:

  • The combined SBL and iUSBL system provides a robust solution for underwater localization in mining applications.
  • The developed EKF-based fusion approach enhances positioning accuracy and reliability.
  • This technique offers a significant advantage for real-time asset tracking in complex underwater operations.