Jove
Visualize
Contact Us

Related Concept Videos

Sound Waves: Interference00:53

Sound Waves: Interference

3.8K
Sound waves can be modeled either as longitudinal waves, wherein the molecules of the medium oscillate around an equilibrium position, or as pressure waves. When two identical waves from the same source superimpose on each other, the combination of two crests or two troughs results in amplitude reinforcement known as constructive interference. If two identical waves, that are initially in phase, become out of phase because of different path lengths, the combination of crests with troughs...
3.8K
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

107
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
107
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

749
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
749

You might also read

Related Articles

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

Sort by
Same author

Evaluating the generalization of complex-weight neural networks over simulated Lamb wave responses from hollow spheres.

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

Canonical correlation analysis as a feature extraction method to classify active sonar targets with shallow neural networks.

The Journal of the Acoustical Society of America·2022
Same author

Sonar target representation using two-dimensional Gabor wavelet features.

The Journal of the Acoustical Society of America·2020
See all related articles
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 Video

Updated: Aug 15, 2025

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor
07:28

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor

Published on: August 30, 2012

10.8K

Resolution of matched field processing for a single hydrophone in a rigid waveguide.

Margaret Cheney1, Ivars Kirsteins2

  • 1Departments of Mathematics and Electrical & Computer Engineering, Colorado State University, Fort Collins, Colorado 80523, USA.

The Journal of the Acoustical Society of America
|December 31, 2022
PubMed
Summary

This study analyzes matched field processing resolution for underwater acoustic source localization using a single hydrophone. It derives approximations for ambiguity surface main-lobe widths in shallow-water waveguides, considering different measurement types.

More Related Videos

Multiplexing Focused Ultrasound Stimulation with Fluorescence Microscopy
08:39

Multiplexing Focused Ultrasound Stimulation with Fluorescence Microscopy

Published on: January 7, 2019

8.3K
Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

3.0K

Related Experiment Videos

Last Updated: Aug 15, 2025

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor
07:28

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor

Published on: August 30, 2012

10.8K
Multiplexing Focused Ultrasound Stimulation with Fluorescence Microscopy
08:39

Multiplexing Focused Ultrasound Stimulation with Fluorescence Microscopy

Published on: January 7, 2019

8.3K
Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

3.0K

Area of Science:

  • Underwater acoustics
  • Signal processing
  • Geophysical exploration

Background:

  • Accurate localization of underwater acoustic sources is crucial for various applications, including navigation, resource exploration, and environmental monitoring.
  • Matched field processing (MFP) is a widely used technique for source localization, but its resolution is often limited by environmental factors and data availability.
  • Understanding the factors affecting MFP resolution, such as waveguide properties and signal characteristics, is essential for improving localization accuracy.

Purpose of the Study:

  • To investigate the resolution of matched field processing for range and depth localization of broadband underwater acoustic sources.
  • To derive analytical approximations for the main-lobe widths of the ambiguity surface in an ideal rigid shallow-water waveguide.
  • To analyze the impact of different measurement types (coherent pressure vs. pressure magnitude-squared) on localization resolution.

Main Methods:

  • Utilized the normal-mode expansion for the acoustic pressure field in a shallow-water waveguide.
  • Derived approximate expressions for ambiguity surface main-lobe widths as a function of the number of modes and frequency band.
  • Conducted numerical simulations to corroborate analytical findings and explore realistic Pekeris waveguide environments.

Main Results:

  • Provided analytical approximations for the main-lobe widths of the ambiguity surface, offering insights into the resolution limits of MFP.
  • Demonstrated that resolution is dependent on the number of acoustic modes and the frequency band of the source signal.
  • Showcased numerical simulations of MFP ambiguity surfaces in realistic shallow-water environments, validating the analytical approach.

Conclusions:

  • The derived analytical expressions offer valuable predictions for MFP resolution in shallow-water waveguides.
  • The study highlights the importance of signal characteristics and waveguide properties in determining localization accuracy.
  • The ambiguity analysis provides a framework for understanding MFP performance in both ideal and realistic underwater environments, including Pekeris waveguides.