Horizontal Lloyd mirror patterns from straight and curved nonlinear internal waves
Abstract
Experimental observations and theoretical studies show that nonlinear internal waves occur widely in shallow water and cause acoustic propagation effects including ducting and mode coupling. Horizontal ducting results when acoustic modes travel between internal wave fronts that form waveguide boundaries. For small grazing angles between a mode trajectory and a front, an interference pattern may arise that is a horizontal Lloyd mirror pattern. An analytic description for this feature is provided along with comparisons between results from the formulated model predicting a horizontal Lloyd mirror pattern and an adiabatic mode parabolic equation. Different waveguide models are considered, including boxcar and jump sound speed profiles where change in sound speed is assumed 12 m/s. Modifications to the model are made to include multiple and moving fronts. The focus of this analysis is on different front locations relative to the source as well as on the number of fronts and their curvatures and speeds. Curvature influences mode incidence angles and thereby changes the interference patterns. For sources oriented so that the front appears concave, the areas with interference patterns shrink as curvature increases, while convexly oriented fronts cause patterns to expand.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Interference of the direct path and the surface reflected path creates the Lloyd mirror pattern, which makes object detection and classification in shallow waters challenging.
“The interference of these two paths creates the so-called Lloyd mirror pattern [24], which makes object detection and classification in shallow waters (such as in a harbour or port) a challenging task [25]”
From A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance (2022) · cites this paper as [24]
Cited by
Sorted by citations
Domingos, L. C. F., Santos, P. E., Skelton, P. S. M., Brinkworth, R. S. A., & Sammut, K. (2022) · Sensors · doi:10.3390/s22062181 · Cited by 93 · see citing works
“The interference of these two paths creates the so-called Lloyd mirror pattern [24], which makes object detection and classification in shallow waters (such as in a harbour or port) a challenging task [25].”
Background
- Authors
- McMahon, K. G., Reilly-Raska, L. K., Siegmann, W. L., Lynch, J. F., & Duda, T. F.
- Affiliations
- Rensselaer Polytechnic Institute (US)
- Woods Hole Oceanographic Institution (US)
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 2012-02-01
- Volume
- 131
- Issue
- 2
- Pages
- 1689-1700
- ISSN
- 0001-4966 (ISSN-L)
- 1520-8524
- OpenAlex
- W2072132307
- Cited by
- 16
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2022: 3 · 2019: 4 · 2017: 1 · 2014: 1 · 2013: 2 · 2012: 1
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of the Acoustical Society of America (publishedVersion)
- PubMed (publishedVersion)
- Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community) (submittedVersion)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Underwater Acoustics Research
- Physical Sciences › Engineering › Biomedical Engineering › Acoustic Wave Phenomena Research
- Physical Sciences › Earth and Planetary Sciences › Geophysics › Seismic Waves and Analysis
- Keywords
- nonlinear internal waves, mode coupling, shallow water acoustics, sound speed profile
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review