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Updated: Dec 31, 2025

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Published on: June 16, 2023
Deep water acoustic range estimation based on an ocean general circulation model: Application to PhilSea10 data.
Mengyu Wu1, Mikhail P Barmin1, Rex K Andrew2
1Department of Physics, University of Colorado at Boulder, Boulder, Colorado 80309, USA.
Accurate deep ocean acoustic ranging is improved by comparing real signals with HYCOM model predictions. Methods focusing on reliable signal parts yield precise range estimates, essential for underwater navigation and research.
Area of Science:
- Oceanography
- Acoustics
- Signal Processing
Background:
- Accurate acoustic transmitter-receiver range estimation is critical for deep ocean operations.
- Existing methods face challenges due to complex oceanographic conditions and signal propagation effects.
Purpose of the Study:
- To identify general characteristics of reliable methods for estimating absolute acoustic range in the deep ocean.
- To evaluate the performance of novel ranging techniques using experimental data and ocean model simulations.
Main Methods:
- Utilized data from the PhilSea10 experiment with a fixed acoustic transmitter and multiple receiver depths.
- Compared observed acoustic records with synthetic records generated by the Hybrid Coordinate Ocean Model (HYCOM).
- Developed and tested ranging methods involving amplitude normalization, travel time measurement, and waveform rejection.
Main Results:
- Over 8900 transmissions analyzed over three days revealed statistical variations in range errors.
- Reliable methods de-emphasize signal components less likely to be reproduced by synthetic models, such as arrival amplitudes and the 'finale' of acoustic records.
- All proposed methods, based on the time and path-averaged HYCOM model, provided reliable range estimates, with one specific method performing best.
Conclusions:
- The developed acoustic ranging methods offer reliable deep ocean range estimations.
- The principles are transportable to diverse deep water environments, enhancing underwater acoustic applications.
- Focusing on reproducible signal characteristics is key to improving ranging accuracy.
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