Experimental studies of sound diffraction by moving inhomogeneities under shallow-water conditions

Зверев, В. А.; Korotin, P. I.; Matveev, A. L.; Mityugov, V. V.; Orlov, D. A.; Salin, B. M.; Turchin, V. I.

doi:10.1134/1.1355803

Cited by 16 publications

(15 citation statements)

References 2 publications

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“…We note that the above-obtained results can be used for interpretation of a number of model experiments [13], in which both the regular structure of acoustic fields and their statistical fluctuations were studied. We now dwell on one possible application of the physical modeling and, in particular, the abovepresented similarity relations.…”

Section: Physical Modeling Of the Fluctuation Processes In A Shallow Seamentioning

confidence: 93%

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Similarity relations for physical modeling of the acoustic fields in a shallow sea

Raevsky

Khil’ko

2009

Radiophys Quantum El

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UDC 534.231Using the mode formalism, we consider the similarity relations for scale modeling of the acoustic fields in a shallow sea. The corresponding conditions for physical modeling of sound propagation and diffraction in a waveguide with regular parameters are obtained. The similarity relations for spatio-temporal mode correlation functions are also found in the case of acoustic fluctuations caused by wind waves and random internal waves.

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Section: Physical Modeling Of the Fluctuation Processes In A Shallow Seamentioning

confidence: 93%

“…In this case (since Im k m = M Im k m ), the similarity relation of diffraction fields also has the same form as Eq. (13).…”

Section: Modeling Of the Diffraction Field In A Plane-layered Waveguidementioning

confidence: 95%

Similarity relations for physical modeling of the acoustic fields in a shallow sea

Raevsky

Khil’ko

2009

Radiophys Quantum El

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“…The experimental data discussed in this section were taken at Lake Sankhar (Vladimir province, Russia) [13]. The surface of the lake is 800 600 m and its depth is 15-20 m in the measurement region.…”

Section: Observation With Incoherent Accumulationmentioning

confidence: 99%

“…This processing yielded the best performance for detection and parameter estimation. A series of lake experiments was conducted in 1997-1999 and reported in [13] and [14]. They provided additional demonstrations of various receiving array geometries and signal processing algorithms for observing a moving inhomogeneity against the fluctuations of the strong direct signal.…”

Section: Introductionmentioning

confidence: 99%

Forward Scattering Observation With Partially Coherent Spatial Processing of Vertical Array Signals in Shallow Water

Matveev

Spindel

Rouseff

2007

IEEE J. Oceanic Eng.

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In this paper, we address the problem of detecting an inhomogeneity in shallow water by observing changes in the acoustic field as the inhomogeneity passes between an acoustic source and vertical line array of receivers. A signal processing scheme is developed to detect the perturbed field in the presence of the much stronger primary source signal, and to estimate such parameters as the time when the inhomogeneity crosses the source-receiver path, its velocity, and its size. The effectiveness of incoherent, coherent, and partially coherent spatial processing of the array signals is evaluated using models and data obtained from experiments in a lake. The effect of different bottom types is also considered, and it is shown that partially coherent processing can have a significant advantage depending on the bottom type. Estimates of the minimum input signal-to-noise ratios (SNRs) for which the diffracted signal can be observed are presented.

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“…Different aspects of this problem, as well as the related problem of low-angle acoustic observation, were studied in [8][9][10][11][12][13][14]. For relatively small observation distances, it is reasonable to use high-frequency (HF) hydroacoustic fields [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Tomographic observation of shallow-water inhomogeneities in the case of probing by a focused high-frequency acoustic field. I. Structure of simulation model

Smirnov

Khil’ko

2009

Radiophys Quantum El

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UDC 534.26We study the possibilities of acoustic tomography observation of small-size bodies in shallow-water layered oceanic waveguides within the framework of geometric acoustics. For increasing the spatial resolution and sensitivity in the considered inverse problem, we used the waveguide-matched focusing of the received and radiated fields into the region of expected location of the observed body. The algorithm of observation in this case consists of search for a global extremum of decision statistics, which is determined by the difference between the measured data and the hypothetic body location. Such hypotheses are formed on the basis of a priori information in the form of the waveguide model and the data on the structure of the observation system. For decreasing the influence of noise associated with the interference of fields in the waveguide, selection of separate tomographic ray projections with the subsequent incoherent accumulation of partial images is used. A tomographic shallow-water observation model based on such principles is analyzed.

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Experimental studies of sound diffraction by moving inhomogeneities under shallow-water conditions

Cited by 16 publications

References 2 publications

Similarity relations for physical modeling of the acoustic fields in a shallow sea

Similarity relations for physical modeling of the acoustic fields in a shallow sea

Forward Scattering Observation With Partially Coherent Spatial Processing of Vertical Array Signals in Shallow Water

Tomographic observation of shallow-water inhomogeneities in the case of probing by a focused high-frequency acoustic field. I. Structure of simulation model

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