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

Tabu for matched-field source localization and geoacoustic inversion.

Zoi-Heleni Michalopoulou1, Urmi Ghosh-Dastidar

  • 1Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey 07102, USA.

The Journal of the Acoustical Society of America
|February 5, 2004
PubMed
Summary

A new Tabu-based method improves underwater source localization and geoacoustic inversion accuracy and efficiency compared to simulated annealing. This global optimization technique uses memory for multiparameter search guidance.

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

Blind weak signal detection via dictionary learning in time-spreading distortion channels using vector sensors.

JASA express letters·2025
Same author

Inversion with virtual arrays in the Seabed Characterization Experiment 2022a).

The Journal of the Acoustical Society of America·2025
Same author

Seabed classification and source localization with Gaussian processes and machine learning.

JASA express letters·2023
Same author

Inversion in an uncertain ocean using Gaussian processes.

The Journal of the Acoustical Society of America·2023
Same author

Matched field source localization with Gaussian processes.

JASA express letters·2022
Same author

Introduction to the special issue on machine learning in acoustics.

The Journal of the Acoustical Society of America·2021

Area of Science:

  • Ocean acoustics
  • Geophysics
  • Computational optimization

Background:

  • Global optimization techniques are crucial for complex inverse problems.
  • Tabu search is a powerful heuristic optimization method with applications in operations research.
  • Accurate source localization and geoacoustic inversion are vital for underwater acoustics.

Purpose of the Study:

  • To develop and evaluate a Tabu-based method for source localization and geoacoustic inversion using underwater sound data.
  • To compare the performance of the Tabu-based method against simulated annealing for multiparameter inversion.
  • To demonstrate the method's effectiveness on both synthetic and real-world oceanographic data.

Main Methods:

  • A Tabu search algorithm was implemented to guide the multiparameter search for source localization and geoacoustic inversion.

Related Experiment Videos

  • The Tabu-based method was tested using synthetic underwater acoustic data with varying numbers of unknown parameters.
  • Performance was benchmarked against a simulated annealing algorithm using the same synthetic datasets.
  • Main Results:

    • The Tabu-based method demonstrated superior accuracy and efficiency in inverting synthetic data compared to the implemented simulated annealing variant.
    • The method successfully performed geoacoustic inversion on the real-world SWellEX-96 data set.
    • The memory-guided search of the Tabu method proved effective for multiparameter inversion problems.

    Conclusions:

    • Tabu search offers a more accurate and efficient approach for source localization and geoacoustic inversion than simulated annealing.
    • The developed Tabu-based method is a viable tool for analyzing underwater acoustic data and solving complex geophysical inverse problems.
    • Further applications of Tabu search in underwater acoustics and related fields are warranted.