A model for numerical simulation of nonstationary sonar reverberation using linear spectral prediction

Chamberlain, S.; Galli, J.

doi:10.1109/joe.1983.1145543

Cited by 20 publications

(3 citation statements)

References 8 publications

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“…The basic idea has been described by Luby and Lytle [Luby Lytle 1987], Hodgkiss [Hodgkiss 1984], and Chamberlain and Galli [Chamberlain Galli 1983], all of which built on the classic work of Faure [Faure 1964], Ol'shevskii [Ol-shevskii 1967], and Middleton [Middleton 1967]. SST's implementation is applicable to far more real systems than the versions described in those references because we have discarded most of the simplifying assumptions: short narrowband pulses, isovelocity single-path propagation, monostatic geometry, and others.…”

Section: Externaltargetmentioning

confidence: 99%

The Sonar Simulation Toolset, Release 4.6: Science, Mathematics, and Algorithms

Goddard¹

2008

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Section: Externaltargetmentioning

confidence: 99%

The Sonar Simulation Toolset, Release 4.6: Science, Mathematics, and Algorithms

Goddard¹

2008

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“…Ocean reverberation is generated by the scattering mechanism of ocean boundary irregularities and medium inhomogeneities [1] and is one of the dominant environmental factors that have to be considered in the design of active sonar systems [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A Depth-Bistatic Bottom Reverberation Model and Comparison with Data from an Active Triplet Towed Array Experiment

et al. 2020

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In this paper, a depth-bistatic bottom reverberation model that employs the ray theory is presented. The model can be applied to an active towed array in the ocean. The reverberation time series are modeled under the depth-bistatic assumption and their Doppler shift is calculated based on the actual source–receiver geometry. This model can handle N × 2D range-dependent bathymetry, the geometry of a triplet array, and the Doppler motion of the source, targets, and receiver. The model predictions are compared with the mid-frequency reverberation data measured by an active triplet towed array during August 2015 in the East Sea, Korea. These data are collected with a variable depth source at mid-frequency and the triplet line array in a deep-water environment. Model predictions of the beam time series and its spectrogram are in good agreement with the measurement. In particular, we discuss the effects of the source and receiver depths on the reverberation in deep water observed in both the measured and modeled results.

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“…In shallow water, the possibility of several reflections from the boundaries increases the complexity of detecting targets. To predict the effects of reverberation, a number of theoretical and experimental studies have been made in the field [8][9][10][11][12][13][14][15][16][17][18]. Ray theory, normal mode theory, multipath expression, fast field and parabolic equation are all frequently used in the study of the underwater transmission of acoustic waves.…”

Section: Introductionmentioning

confidence: 99%

Study of reverberation pattern and its cancellation method in shallow water

Yang

Chiu

Wei

2007

Theor appl mech (Belgr)

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In shallow water, the primary limitation of the performance of active sonar is the reverberation that originates from volume and boundaries scattering as well as multi-path propagation. Therefore, reverberation cancelation is an important research topic for increasing the performance of active sonar in shallow water. In this research, the reverberation pattern is simulated using MATLAB software. The simulated frequency is 30-kHz in the research. There are two main aims of this work. The first is to create the signals that include the reverberation and the target. The second is to perform the reverberation cancelation for the active sonar in shallow water. The analysis of the reverberation for the spherical target is based on the propagation theory of image source, surface scattering of Rayleigh criterion of roughness, bottom scattering of Lambert’s Law, and multiple scattering. The signal containing the reverberation and the target is then compressed or enhanced by AGC (Automatic Gain Control). The echo of the target is then distinguished through the method of cross correlation. The following phenomena can be found: (a) AGC can compress the signal in a speciﬁc dynamic range. (b) cross correlation can be used to locate and distinguish the echoes of the target in a high reverberation environment

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A model for numerical simulation of nonstationary sonar reverberation using linear spectral prediction

Cited by 20 publications

References 8 publications

The Sonar Simulation Toolset, Release 4.6: Science, Mathematics, and Algorithms

The Sonar Simulation Toolset, Release 4.6: Science, Mathematics, and Algorithms

A Depth-Bistatic Bottom Reverberation Model and Comparison with Data from an Active Triplet Towed Array Experiment

Study of reverberation pattern and its cancellation method in shallow water

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