• 한국지구과학회지
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• 제40권4호
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• pp.428-435
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• 2019

In the shallow coastal area, located off the northwestern Taean Peninsula of the eastern Yellow Sea, geoacoustic models with two layers were reconstructed for underwater acoustic experimentation and modeling. The Yellow Sea experienced glacio-eustasy sea-level fluctuations during Quaternary period. Coastal sedimentation in the Yellow Sea was characterized by alternating terrestrial and shallow marine deposits that reflected the fluctuating sea levels. The coastal geoacoustic models were based on data from piston, grab cores and the high-resolution 3.5 kHz, chirp seismic profiles (about 70 line-kilometers, respectively). Geoacoustic data of the cores were extrapolated down to 3 m in depth for geoacoustic models. The geoacoustic property of seafloor sediments is considered a key parameter for modeling underwater acoustic environments. For simulating actual underwater environments, the P-wave speed of the models was adjusted to in-situ depth below the sea floor using the Hamilton method. The proposed geoacoustic models could be used for submarine acoustic inversion and modeling in shallow-water environments of the study area.

• 지구물리와물리탐사
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• 제2권4호
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• pp.202-208
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• 1999

Chirp sonar 시스템을 이용하여 획득한 광역주파수 음향반사자료의 감쇠특성을 나타내는 음향학적 분류변수를 고안하였다. 분류변수는 퇴적물 물성에 따른 분산효과에 의한 감쇠특성을 나타내며, 음향반사신호의 푸리에 변환을 이용한 unwrapped 위상의 미분치로부터 구하였다. 그리고 각기 다른 퇴적상을 나타내는 지점에서 획득된 음향반사신호의 지질음향모델링을 통하여 퇴적물 물성에 따른 감쇠특성을 평가하였다. 그 결과, 분류변수는 입자크기와 성분에 따른 퇴적물 형태와 해저면 굳기에 따라 값의 차이를 보였으며, 이는 음향자료로부터 직접 해저면을 분류하는데 효과적으로 사용할 수 있다.

• 한국군사과학기술학회지
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• 제10권3호
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• pp.43-50
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• 2007

A range-frequency interference pattern is analyzed in the course of the propagation of ship noise in shallow water. It has been shown to exhibit striated bands of intensity maxima and minima in the spectrogram. The slope of the striations is an invariant of the modal interference and is described by a waveguide invariant parameter $\beta$. It turns out that this interference pattern is useful for identifying the physical properties of the waveguide such as seabed properties. In this article, the interference pattern is analyzed using image processing techniques to produce the distribution of the beta and the effects of sediment types and geoacoustic parameters on beta distribution are examined and characterized by moments of the distributions.

• 한국음향학회지
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• 제24권6호
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• pp.303-308
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• 2005

본 연구에서는 해상 실험 자료를 사용해 저주파 광대역 음원으로서 전구 음원의 음향학적 특성을 연구하였다. 본 연구를 위해 연속 전구 신호 획득이 가능한 전구 음원을 사용하였다. 본 논문에서는 전구 음원 특성 분석 결과를 나타내었으며, 이전 연구 논문과 비교하였다 연구 결과 전구 신호는 수심이 증가함에 따라 최고 음원 준위와 주 공진 주파수가 증가하는 것을 알 수 있었다. 또한 전구 음원을 사용한 지음향 파라미터 역산 연구와 정합음원 추적 연구를 통해 전구 음원에 의해 획득된 지음향 파라미터가 수중 음원 위치 추적에서 사용 가능함을 확인하였다.

• The Journal of the Acoustical Society of Korea
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• 제22권3E호
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• pp.133-140
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• 2003

A time series simulation is presented by a ray approach for the simulating the received waveform of a broadband acoustical signals interacting with the ocean boundaries. The environment is assumed to be horizontally stratified, and the seafloor is described in terms of homogeneous fluid half-space. The ray approach includes the effects of reflection from the air-water, water-sediment interface and phase shifts due to boundaries interaction. To generate time series, we assume that the acoustic energy propagates from source to receiver along eigenrays and represent the action of the bottom on the incident wave by a linear filter and characterized in the frequency domain by the transfer function. As example application, the time series for an explosive source in a shallow water environment is calculated and analyzed in terms of acoustical process. good agreement with measured time series is demonstrated.

• 한국해양공학회지
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• 제34권5호
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• pp.371-376
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• 2020

Underwater acoustics, which is the study of the phenomena related to sound waves in water, has been applied mainly in research on the use of sound navigation and range (SONAR) systems for communication, target detection, investigation of marine resources and environments, and noise measurement and analysis. Underwater acoustics is mainly applied in the field of remote sensing, wherein information on a target object is acquired indirectly from acoustic data. Presently, machine learning, which has recently been applied successfully in a variety of research fields, is being utilized extensively in remote sensing to obtain and extract information. In the earlier parts of this work, we examined the research trends involving the machine learning techniques and theories that are mainly used in underwater acoustics, as well as their applications in active/passive SONAR systems (Yang et al., 2020a; Yang et al., 2020b; Yang et al., 2020c). As a follow-up, this paper reviews machine learning applications for the inversion of ocean parameters such as sound speed profiles and sediment geoacoustic parameters.