Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Multiple-array passive acoustic source localization in shallow water.

Dag Tollefsen1, Peter Gerstoft2, William S Hodgkiss2

  • 1Norwegian Defence Research Establishment (FFI), Box 115, 3191 Horten, Norway.

The Journal of the Acoustical Society of America
|April 5, 2017
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Multi-Head Attention Transformer Model for Wearable in Situ Fall Detection.

IEEE access : practical innovations, open solutions·2026
Same author

Range-dependent matched-field geoacoustic inversion using a tonal source towed on circular tracks.

The Journal of the Acoustical Society of America·2026
Same author

Continuous forecasting of range-dependent ocean sound speed field: Diffusion model meets multi-output Gaussian process.

The Journal of the Acoustical Society of America·2026
Same author

Sensor beampattern and equivalent aperture in a distributed acoustic sensing system.

The Journal of the Acoustical Society of America·2026
Same author

Multipath correlation at mid-frequency in a convergence zone.

The Journal of the Acoustical Society of America·2026
Same author

Passive moving source ocean acoustic tomography with uncertainty quantification using relative arrival times from a ship of opportunity.

The Journal of the Acoustical Society of America·2026
Same journal

Sibilant differentiation before and after tongue cancer surgery: Acoustics, kinematics and the role of sensorimotor controla).

The Journal of the Acoustical Society of America·2026
Same journal

BioNet-A: Ultrasonic echo representation network for target discrimination using active SONAR.

The Journal of the Acoustical Society of America·2026
Same journal

Empty soft-drink cans and mass-loaded rods: Analogous homework problems from acoustic and mechanical domains.

The Journal of the Acoustical Society of America·2026
Same journal

Erratum: Statistical wave field theory: Anisotropic wave fields under Neumann's boundary condition [J. Acoust. Soc. Am. 159(3), 2265-2280 (2026)].

The Journal of the Acoustical Society of America·2026
Same journal

On the modification of tip leakage noise sources by porous treatment.

The Journal of the Acoustical Society of America·2026
Same journal

An educational opportunity: Acoustics in an empty room.

The Journal of the Acoustical Society of America·2026
See all related articles

Concurrent matched-field processing using multiple acoustic arrays improves source localization accuracy. Exploiting relative amplitude information between arrays yielded the best results, even with short arrays.

Area of Science:

  • Underwater acoustics
  • Signal processing
  • Array processing

Background:

  • Matched-field processing (MFP) is crucial for underwater source localization.
  • Shallow water environments present unique challenges for acoustic signal processing.
  • Previous MFP methods often process arrays individually, limiting performance.

Purpose of the Study:

  • To develop and evaluate concurrent matched-field processing for multiple, spatially-separated acoustic arrays.
  • To investigate the impact of inter-array spectral information (amplitude and phase) on localization accuracy.
  • To assess the performance of different MFP strategies using real-world towed-source data.

Main Methods:

  • Derivation of matched-field processors for multi-array, multi-snapshot data.

Related Experiment Videos

  • Application of maximum-likelihood estimates for unknown source strengths and error variances.
  • Comparison of coherent-array, incoherent-array, and individual array processing techniques.

    • Main Results:

    • Concurrent processing of two arrays significantly improved source localization compared to individual array processing.
    • A processor exploiting relative amplitude information, but not relative phase, between arrays achieved the best performance.
    • Performance gains were maintained even when applying multi-array processors to short, individually underperforming arrays.

    Conclusions:

    • Concurrent matched-field processing with multiple arrays offers enhanced underwater source localization.
    • Leveraging inter-array amplitude information is key to improving localization accuracy in towed-source scenarios.
    • The developed methods provide robust localization performance, adaptable to varying array configurations.