Improving underwater localization accuracy with machine learning

Rauchenstein, Lynn T.; Vishnu, Abhinav; Li, Xinya; Deng, Zhiqun

doi:10.1063/1.5012687

Title: Improving underwater localization accuracy with machine learning

Journal Article · Mon Jul 02 00:00:00 EDT 2018 · Review of Scientific Instruments

DOI:https://doi.org/10.1063/1.5012687· OSTI ID:1524244

Rauchenstein, Lynn T. ^[1]; Vishnu, Abhinav ^[1]; Li, Xinya ^[1];

^[1]

Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Machine learning classification and regression algorithms were applied to calibrate the localization errors of a time-difference-of-arrival (TDOA)-based acoustic sensor array used for tracking salmon passage through a hydroelectric dam on the Snake River, Washington, USA. The locations of stationary and mobile acoustic tags were first tracked using the approximate maximum likelihood algorithm. Next, ensembles of classification trees successfully identified and filtered data points with large localization errors. This prefiltering step allowed the creation of a machine-learned regression model function, which decreased the median distance error by 50% for the stationary tracks and by 34% for the mobile tracks. It also extended the previous range of sub-meter localization accuracy from 100 m to 250 m horizontal distance from the dam face (the receivers). Median distance errors in the depth direction were especially decreased, falling from 0.49 m to 0.04 m in the stationary tracks and from 0.38 m to 0.07 m in the mobile tracks. These methods would have application to the calibration of error in any TDOA-based sensor network with a steady environment and array configuration.

View Accepted Manuscript (DOE)

Cite

Export

Save

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office; U.S. Army Corps of Engineers

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1524244

Report Number(s):: PNNL-SA-120624

Journal Information:: Review of Scientific Instruments, Vol. 89, Issue 7; ISSN 0034-6748

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 17 works

Citation information provided by
Web of Science

References (36)

A Cabled Acoustic Telemetry System for Detecting and Tracking Juvenile Salmon: Part 1. Engineering Design and Instrumentation Weiland, Mark A.; Deng, Z. Daniel; Seim, Tom A. Sensors, Vol. 11, Issue 6, p. 5645-5660 https://doi.org/10.3390/s110605645	journal	May 2011
Water as a standard in the measurements of speed of sound in liquids Marczak, Wojciech The Journal of the Acoustical Society of America, Vol. 102, Issue 5 https://doi.org/10.1121/1.420332	journal	November 1997
Evaluation of fish-injury mechanisms during exposure to turbulent shear flow Deng, Zhiqun; Guensch, Gregory R.; McKinstry, Craig A. Canadian Journal of Fisheries and Aquatic Sciences, Vol. 62, Issue 7, p. 1513-1522 https://doi.org/10.1139/f05-091	journal	July 2005
Design and Instrumentation of a Measurement and Calibration System for an Acoustic Telemetry System Deng, Zhiqun; Weiland, Mark; Carlson, Thomas Sensors, Vol. 10, Issue 4, p. 3090-3099 https://doi.org/10.3390/s100403090	journal	March 2010
A method for estimating the “position accuracy” of acoustic fish tags Ehrenberg, J. ICES Journal of Marine Science, Vol. 59, Issue 1 https://doi.org/10.1006/jmsc.2001.1138	journal	February 2002
Contributed Review: Source-localization algorithms and applications using time of arrival and time difference of arrival measurements Li, Xinya; Deng, Zhiqun Daniel; Rauchenstein, Lynn T. Review of Scientific Instruments, Vol. 87, Issue 4 https://doi.org/10.1063/1.4947001	journal	April 2016
Evaluation of blade-strike models for estimating the biological performance of Kaplan turbines Deng, Zhiqun; Carlson, Thomas J.; Ploskey, Gene R. Ecological Modelling, Vol. 208, Issue 2-4 https://doi.org/10.1016/j.ecolmodel.2007.05.019	journal	November 2007
TDOA Based Node Localization in WSN Using Neural Networks Singh, P.; Agrawal, S. 2013 International Conference on Communication Systems and Network Technologies (CSNT 2013) https://doi.org/10.1109/CSNT.2013.90	conference	April 2013
Multivariate Models of Adult Pacific Salmon Returns Burke, Brian J.; Peterson, William T.; Beckman, Brian R. PLoS ONE, Vol. 8, Issue 1 https://doi.org/10.1371/journal.pone.0054134	journal	January 2013
Exact and Approximate Maximum Likelihood Localization Algorithms Chan, Y. T.; Hang, H. Y. C.; Ching, P. -C. IEEE Transactions on Vehicular Technology, Vol. 55, Issue 1 https://doi.org/10.1109/tvt.2005.861162	journal	January 2006
Estimating source position accuracy of a large-aperture hydrophone array for bioacoustics Wahlberg, Magnus; Møhl, Bertel; Teglberg Madsen, Peter The Journal of the Acoustical Society of America, Vol. 109, Issue 1 https://doi.org/10.1121/1.1329619	journal	January 2001
A Synthesizable VHDL Model of the Exact Solution for Three-dimensional Hyperbolic Positioning System Bucher, Ralph; Misra, D. VLSI Design, Vol. 15, Issue 2 https://doi.org/10.1080/1065514021000012129	journal	January 2002
Migration depth and residence time of juvenile salmonids in the forebays of hydropower dams prior to passage through turbines or juvenile bypass systems: implications for turbine-passage survival Li, Xinya; Deng, Zhiqun D.; Brown, Richard S. Conservation Physiology, Vol. 3, Issue 1 https://doi.org/10.1093/conphys/cou064	journal	January 2015
A 3D approximate maximum likelihood solver for localization of fish implanted with acoustic transmitters Li, Xinya; Deng, Z. Daniel; Sun, Yannan Scientific Reports, Vol. 4, Issue 1 https://doi.org/10.1038/srep07215	journal	November 2014
Influence of multiple dam passage on survival of juvenile Chinook salmon in the Columbia River estuary and coastal ocean Rechisky, E. L.; Welch, D. W.; Porter, A. D. Proceedings of the National Academy of Sciences, Vol. 110, Issue 17 https://doi.org/10.1073/pnas.1219910110	journal	April 2013
Absolute Positioning of an Autonomous Underwater Vehicle Using GPS and Acoustic Measurements Kussat, N. H.; Chadwell, C. D.; Zimmerman, R. IEEE Journal of Oceanic Engineering, Vol. 30, Issue 1 https://doi.org/10.1109/joe.2004.835249	journal	January 2005
Echolocation signals of wild Atlantic spotted dolphin ( Stenella frontalis ) Au, Whitlow W. L.; Herzing, Denise L. The Journal of the Acoustical Society of America, Vol. 113, Issue 1 https://doi.org/10.1121/1.1518980	journal	January 2003
A Cabled Acoustic Telemetry System for Detecting and Tracking Juvenile Salmon: Part 2. Three-Dimensional Tracking and Passage Outcomes Deng, Z. Daniel; Weiland, Mark A.; Fu, Tao Sensors, Vol. 11, Issue 6, p. 5661-5676 https://doi.org/10.3390/s110605661	journal	May 2011
Pathways of barotrauma in juvenile salmonids exposed to simulated hydroturbine passage: Boyle's law vs. Henry's law Brown, Richard S.; Pflugrath, Brett D.; Colotelo, Alison H. Fisheries Research, Vol. 121-122 https://doi.org/10.1016/j.fishres.2012.01.006	journal	June 2012
The Juvenile Salmon Acoustic Telemetry System: A New Tool McMichael, Geoffrey A.; Eppard, M. Brad; Carlson, Thomas J. Fisheries, Vol. 35, Issue 1, p. 9-22 https://doi.org/10.1577/1548-8446-35.1.9	journal	January 2010
Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications Alsheikh, Mohammad Abu; Lin, Shaowei; Niyato, Dusit IEEE Communications Surveys & Tutorials, Vol. 16, Issue 4 https://doi.org/10.1109/comst.2014.2320099	journal	January 2014
Tracking animals in freshwater with electronic tags: past, present and future Cooke, Steven J.; Midwood, Jonathan D.; Thiem, Jason D. Animal Biotelemetry, Vol. 1, Issue 1 https://doi.org/10.1186/2050-3385-1-5	journal	January 2013
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods Cristianini, Nello; Shawe-Taylor, John https://doi.org/10.1017/CBO9780511801389	book	January 2013
A fast and accurate decoder for underwater acoustic telemetry Ingraham, J. M.; Deng, Z. D.; Li, X. Review of Scientific Instruments, Vol. 85, Issue 7 https://doi.org/10.1063/1.4891041	journal	July 2014
Use of an autonomous sensor to evaluate the biological performance of the advanced turbine at Wanapum Dam Deng, Zhiqun; Carlson, Thomas J.; Duncan, Joanne P. Journal of Renewable and Sustainable Energy, Vol. 2, Issue 5, Article No. 053104 https://doi.org/10.1063/1.3501336	journal	September 2010
Passive Localization of Calling Animals and Sensing of their Acoustic Environment Using Acoustic Tomography Spiesberger, John L.; Fristrup, Kurt M. The American Naturalist, Vol. 135, Issue 1 https://doi.org/10.1086/285035	journal	January 1990
Wireless sensor network localization techniques Mao, Guoqiang; Fidan, Barış; Anderson, Brian D. O. Computer Networks, Vol. 51, Issue 10 https://doi.org/10.1016/j.comnet.2006.11.018	journal	July 2007
Sceptics and salmon challenge scientists Macilwain, Colin Nature, Vol. 385, Issue 6618 https://doi.org/10.1038/385668a0	journal	February 1997
Tracking fish with electronic tags Metcalfe, J. D.; Arnold, G. P. Nature, Vol. 387, Issue 6634 https://doi.org/10.1038/42622	journal	June 1997
ECOLOGY:As Salmon Stage Disappearing Act, Dams May Too Lovett, R. A. Science, Vol. 284, Issue 5414 https://doi.org/10.1126/science.284.5414.574	journal	April 1999
Survival Estimates for Juvenile Fish Subjected to a Laboratory-Generated Shear Environment Neitzel, D. A.; Dauble, D. D.; Čada, G. F. Transactions of the American Fisheries Society, Vol. 133, Issue 2 https://doi.org/10.1577/02-021	journal	March 2004
Machine learning classifiers and fMRI: A tutorial overview Pereira, Francisco; Mitchell, Tom; Botvinick, Matthew NeuroImage, Vol. 45, Issue 1 https://doi.org/10.1016/j.neuroimage.2008.11.007	journal	March 2009
Record salmon populations disguise uncertain future Wakefield, Julie Nature, Vol. 411, Issue 6835 https://doi.org/10.1038/35077276	journal	May 2001
A Machine Learning Approach to Ranging Error Mitigation for UWB Localization Wymeersch, H.; Marano, S.; Gifford, W. M. IEEE Transactions on Communications, Vol. 60, Issue 6 https://doi.org/10.1109/tcomm.2012.042712.110035	journal	June 2012
Field test of a new method for tracking small fishes in shallow rivers using passive integrated transponder (PIT) technology Roussel, J. -M; Haro, A.; Cunjak, R. A. Canadian Journal of Fisheries and Aquatic Sciences, Vol. 57, Issue 7 https://doi.org/10.1139/f00-110	journal	July 2000
Precise GPS/Acoustic positioning of seafloor reference points for tectonic studies Spiess, Fred N.; Chadwell, C. David; Hildebrand, John A. Physics of the Earth and Planetary Interiors, Vol. 108, Issue 2 https://doi.org/10.1016/s0031-9201(98)00089-2	journal	June 1998

Cited By (1)

Machine Learning Based Localization in Large-Scale Wireless Sensor Networks Bhatti, Ghulam Sensors, Vol. 18, Issue 12 https://doi.org/10.3390/s18124179	journal	November 2018

Similar Records

Using 3D Acoustic Telemetry to Assess the Response of Resident Salmonids to Strobe Lights in Lake Roosevelt, Washington; Chief Joseph Kokanee Enhancement Feasibility Study, Annual Report 2001-2002.

Technical Report · Wed Jan 01 00:00:00 EST 2003 · OSTI ID:1524244

Perry, Russlee; Farley, M; Hansen, Gabriel

Contributed Review: Source-localization algorithms and applications using time of arrival and time difference of arrival measurements

Journal Article · Fri Apr 01 00:00:00 EDT 2016 · Review of Scientific Instruments · OSTI ID:1524244

Li, Xinya; Deng, Zhiqun Daniel; Rauchenstein, Lynn T.; +1 more

Development of the Intelligent, Preventive Infrared (IR) Inspection System Housed in Hybrid Robotic Platforms

Conference · Wed Jul 01 00:00:00 EDT 2020 · OSTI ID:1524244

Washington, Alexandrea; Neubauer, Justin; Napollion, Liya; +8 more

Related Subjects

47 OTHER INSTRUMENTATION
acoustic sensors
hydrophone
speed of sound
sound-emitting devices
power plants
machine learning
signal processing
telemetry
water transportation
regression analysis

Title: Improving underwater localization accuracy with machine learning

Citation Formats

References (36)

Cited By (1)

Similar Records

Related Subjects