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Updated: Aug 11, 2025

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Deep ocean long range underwater navigation with ocean circulation model corrections.

Peter N Mikhalevsky1, Ganesh Gopalakrishnan2, Bruce D Cornuelle2

  • 1Leidos, Inc., 4001 North Fairfax Drive, Suite 800, Arlington, Virginia 22203, USA.

The Journal of the Acoustical Society of America
|February 2, 2023
PubMed
Summary
This summary is machine-generated.

A new underwater navigation algorithm uses acoustic travel times for precise geo-positioning. This cold start with model (CSAM) approach significantly reduces positioning errors for submerged vehicles.

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Area of Science:

  • Oceanography
  • Acoustics
  • Navigation Systems

Background:

  • Underwater navigation poses challenges due to signal loss and environmental factors.
  • Accurate geo-positioning is critical for submerged vehicles and oceanographic research.

Purpose of the Study:

  • To introduce and evaluate a novel underwater navigation algorithm for precise geo-positioning.
  • To improve the accuracy of underwater vehicle positioning using acoustic data and ocean models.

Main Methods:

  • Utilized travel times from a constellation of acoustic sources for "cold start" (CSA) geo-positioning.
  • Integrated CSA geo-position with an ocean general circulation model (GCM) for "cold start with model" (CSAM) processing.
  • Calculated geo-position using adjusted ranges based on travel time offsets between data and modeled arrival times.

Main Results:

  • The CSAM processing reduced CSA geo-position errors from a mean of 58 meters to 25 meters.
  • A simulation estimated CSA and CSAM performance based on group speed variability.
  • CSAM geolocation accuracy is directly related to the accuracy of the GCM.

Conclusions:

  • The CSAM algorithm offers a significant improvement in underwater geo-positioning accuracy.
  • The accuracy of the ocean general circulation model is a key factor in CSAM performance.
  • This method enhances the reliability of underwater navigation for various applications.