Monostatic and bistatic reverberation statistics west of the Mid-Atlantic Ridge

Dorfman, Y.; Dyer, Ira

doi:10.1121/1.427924

Cited by 15 publications

(5 citation statements)

References 15 publications

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“…This figure also shows the scattering strength for the same problem, but with the basalt being represented by an elastic medium. The enhanced backscattering observed for the elastic bottom is consistent with the ARSRP observations [5,6].…”

Section: Accomplishments and Resultssupporting

confidence: 89%

“…In 1997, this modeling capability has been successfully validated by comparison to other scattering theories for the simple two halfspace problem. The comparison to the in-plane, bistatic scattering strength results generated independently by Dorfman [5,6] for scattering off a basalt seabed, assuming the basalt to be a fluid medium, is shown in Fig.1. This figure also shows the scattering strength for the same problem, but with the basalt being represented by an elastic medium.…”

Section: Accomplishments and Resultsmentioning

confidence: 98%

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Multistatic Active Acoustics

Schmidt¹

1997

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The long-term objective of this research is to develop a theoretical foundation for the design of new multi-static sonar concepts for littoral seabed imaging and mine counter measures (MCM) operations. Multistatic configurations have been made possible by the development with ONR support of new inexpensive autonomous underwater vehicle technology. OBJECTIVES The specific objective of this project is to develop and validate theoretical and numerical models of the 3-D spatial statistics of the seismo-acoustic field produced by targets on and within a rough elastic seabed. These models are then applied to develop an improved understanding of the dominant physical processes governing the performance of moderate-to-high frequency sonar systems for detection and classification of objects above and below the seabed in shallow water environments.

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Section: Accomplishments and Resultssupporting

confidence: 89%

Section: Accomplishments and Resultsmentioning

confidence: 98%

Multistatic Active Acoustics

Schmidt¹

1997

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“…First, we divide the surface up into a set of facets [13], each with its own height (h i ), length (d i ), and slope (s i ), as shown in two dimensions in Fig. 2.…”

Section: B Realistic Modelmentioning

confidence: 99%

Classifying Surface Roughness With CTFM Ultrasonic Sensing

McKerrow

Kristiansen²

2006

IEEE Sensors J.

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Roughness is a characteristic of a surface that is a function of its geometry. Ultrasonic sensing in air provides range, area, and angle information because the surface geometry determines the characteristics of the echo. The authors introduce the "spatial-angle-filter model" to explain the impact of surface roughness on the echo. On the basis of this model, they design a set of features for use in classifying surfaces. The quality of the features and the classification is measured with the Mahalanobis distance. The resultant system is able to achieve 99.73% classification of a set of 12 surfaces using five features. Abstract-Roughness is a characteristic of a surface that is a function of its geometry. Ultrasonic sensing in air provides range, area, and angle information because the surface geometry determines the characteristics of the echo. The authors introduce the "spatial-angle-filter model" to explain the impact of surface roughness on the echo. On the basis of this model, they design a set of features for use in classifying surfaces. The quality of the features and the classification is measured with the Mahalanobis distance. The resultant system is able to achieve 99.73% classification of a set of 12 surfaces using five features. Disciplines Physical Sciences and MathematicsIndex Terms-Continuous transmission frequency modulated (CTFM) ultrasonic sensor, Mahalanobis classifier, spatial-angle filter, surface roughness, ultrasonic sensing, wheeled mobile robot.

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“…But it seems reasonable to believe that at least some portion of the bottom at or near the shelf break and on the slope is very rough, by which we mean that the roughness height scale compared with acoustic wavelength is large ( ). Spatial angulation of such roughness elements (or facets, [21]) can lead to significant out-of-plane scattering losses, and differences in up-slope down-slope propagation. 8 Because the bottom geology, the bathymetry, and the coastal front are horizontally anisotropic, acoustic propagation is also horizontally anisotropic.…”

Section: Discussionmentioning

confidence: 99%

Effects of Korean littoral environment on acoustic propagation

Abbot

Celuzza

Dyer

et al. 2001

IEEE J. Oceanic Eng.

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Environmental acoustics experiments were recently conducted in shallow to intermediate water depths in the Sea of Japan, east of Korea, along the shelf and slope, covering frequencies from 25 to 800 Hz. These were operational experiments carried out in three different seasons. The primary objectives of the data reported here are: 1) to characterize the Korean coastal environment during May 1998, September 1998, and February 1999 and 2) to assess how complexities of the environment might impact acoustic propagation in May and February, as measured by its transmission loss. Propagation data were obtained from broadband explosive SUS sources and sonobuoy receivers. The tests were conducted over varying bottom depths and slopes, both approximately normal and parallel to the bathymetric contours. Two different source depths were included. Environmental and acoustic data are reviewed and discussed. While many aspects of the observed propagation remain ill understood, on the whole a consistent and useful picture has emerged of acoustic propagation in this region. Environmental impacts on propagation are associated mainly with bottom properties, somewhat less so with source depth in relationship to sound speed profiles, and almost not at all with range-dependent profiles of a water mass front.

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Monostatic and bistatic reverberation statistics west of the Mid-Atlantic Ridge

Cited by 15 publications

References 15 publications

Multistatic Active Acoustics

Multistatic Active Acoustics

Classifying Surface Roughness With CTFM Ultrasonic Sensing

Effects of Korean littoral environment on acoustic propagation

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