This study identifies general characteristics of methods to estimate the absolute range between an acoustic transmitter and a receiver in the deep ocean. The data are from three days of the PhilSea10 experiment with a single fixed transmitter depth (∼998 m) and 150 receiver depths (∼210–5388 m) of known location, and a great-circle transmitter-receiver distance of ∼510 km. The proposed ranging methods compare observed acoustic records with synthetic records computed through the HYCOM (hybrid coordinate ocean model) model. More than 8900 transmissions over 3 days characterize the statistical variation of range errors. Reliable ranging methods de-emphasize the parts of the data records least likely to be reproduced by the synthetics, which include arrival amplitudes, the later parts of the acoustic records composed of nearly horizontally launched rays (i.e., the finale), and waves that sample a narrow span of ocean depths. The ranging methods proposed normalize amplitudes, measure travel times, or reject parts of the waveforms beyond a critical time. All deliver reliable range estimates based on the time and path-averaged HYCOM model, although the final method performs best. The principles behind these methods are transportable and expected to provide reliable range estimates in different deep water settings.
Skip Nav Destination
,
,
,
,
,
,
,
,
,
Article navigation
December 2019
December 31 2019
Deep water acoustic range estimation based on an ocean general circulation model: Application to PhilSea10 data Available to Purchase
Special Collection:
Acoustic Localization
Mengyu Wu;
Mengyu Wu
a)
1
Department of Physics, University of Colorado at Boulder
, Boulder, Colorado 80309, USA
Search for other works by this author on:
Mikhail P. Barmin;
Mikhail P. Barmin
1
Department of Physics, University of Colorado at Boulder
, Boulder, Colorado 80309, USA
Search for other works by this author on:
Rex K. Andrew;
Rex K. Andrew
2
Applied Physics Laboratory, University of Washington
, Seattle, Washington 98105, USA
Search for other works by this author on:
Peter B. Weichman;
Peter B. Weichman
3
BAE Systems
, Burlington, Massachusetts 01803, USA
Search for other works by this author on:
Andrew W. White;
Andrew W. White
4
BAE Systems
, Merrimack, New Hampshire 03054, USA
Search for other works by this author on:
Eugene M. Lavely;
Eugene M. Lavely
3
BAE Systems
, Burlington, Massachusetts 01803, USA
Search for other works by this author on:
Matthew A. Dzieciuch;
Matthew A. Dzieciuch
5
Scripps Institution of Oceanography, University of California at San Diego
, La Jolla, California 92093, USA
Search for other works by this author on:
James A. Mercer;
James A. Mercer
2
Applied Physics Laboratory, University of Washington
, Seattle, Washington 98105, USA
Search for other works by this author on:
Peter F. Worcester;
Peter F. Worcester
5
Scripps Institution of Oceanography, University of California at San Diego
, La Jolla, California 92093, USA
Search for other works by this author on:
Michael H. Ritzwoller
Michael H. Ritzwoller
1
Department of Physics, University of Colorado at Boulder
, Boulder, Colorado 80309, USA
Search for other works by this author on:
Mengyu Wu
1,a)
Mikhail P. Barmin
1
Rex K. Andrew
2
Peter B. Weichman
3
Andrew W. White
4
Eugene M. Lavely
3
Matthew A. Dzieciuch
5
James A. Mercer
2
Peter F. Worcester
5
Michael H. Ritzwoller
1
1
Department of Physics, University of Colorado at Boulder
, Boulder, Colorado 80309, USA
2
Applied Physics Laboratory, University of Washington
, Seattle, Washington 98105, USA
3
BAE Systems
, Burlington, Massachusetts 01803, USA
4
BAE Systems
, Merrimack, New Hampshire 03054, USA
5
Scripps Institution of Oceanography, University of California at San Diego
, La Jolla, California 92093, USA
a)
Electronic mail: [email protected]
J. Acoust. Soc. Am. 146, 4754–4773 (2019)
Article history
Received:
March 14 2019
Accepted:
July 23 2019
Citation
Mengyu Wu, Mikhail P. Barmin, Rex K. Andrew, Peter B. Weichman, Andrew W. White, Eugene M. Lavely, Matthew A. Dzieciuch, James A. Mercer, Peter F. Worcester, Michael H. Ritzwoller; Deep water acoustic range estimation based on an ocean general circulation model: Application to PhilSea10 data. J. Acoust. Soc. Am. 1 December 2019; 146 (6): 4754–4773. https://doi.org/10.1121/1.5138606
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Variation in global and intonational pitch settings among black and white speakers of Southern American English
Aini Li, Ruaridh Purse, et al.
Effects of network selection and acoustic environment on bounding-box object detection of delphinid whistles using a deep learning tool
Peter C. Sugarman, Elizabeth L. Ferguson, et al.
Introduction to the special issue on: Advances in soundscape: Emerging trends and challenges in research and practice
Francesco Aletta, Bhan Lam, et al.
Related Content
Deep ocean sound speed profile estimation using matched autoproduct processing
J. Acoust. Soc. Am. (October 2021)
Deep ocean long range underwater navigation
J. Acoust. Soc. Am. (April 2020)
Long-range frequency-difference source localization in the Philippine Sea
J. Acoust. Soc. Am. (December 2019)
Deep ocean long range underwater navigation with ocean circulation model corrections
J. Acoust. Soc. Am. (January 2023)
The impact of internal tides and gravity waves on key acoustic parameters and acoustic transmission loss near the Amazon shelf
J. Acoust. Soc. Am. (October 2021)