• Title/Summary/Keyword: 수중탐지

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Finite Element Simulation of Elastic Waves for Detecting Damages in Underwater Steel Plates (수중 강판에 존재하는 결함탐지를 위한 탄성파 유한요소 시뮬레이션)

  • Woo, Jin-Ho;Na, Won-Bae
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2011.04a
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    • pp.623-626
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    • 2011
  • 본 연구는 수중 강판에 존재하는 결함탐지를 위한 탄성파 유한요소 시뮬레이션이다. 일반적으로 수중 강판은 외부의 물로 인하여 결함의 탐지가 어렵다. 이러한 수중 강판의 결함탐지에는 잠수부가 수중 강판 표면에 비파괴 검사 장비를 활용하여 결함을 탐지하는 경우가 많으며 잠수부의 경험과 많은 시간이 소요되는 단점이 있다. 본 연구에서는 수중강판의 표면이 아닌 수중에서 탄성파를 발생시켰을 경우 수중 강판의 결함탐지 유한요소 시뮬레이션을 이용하여 손상의 위치와 손상의 크기에 따라 발생하는 응답을 알아보았다. 강판의 상하부에 기계적인 손상이 발생한 경우를 손상 시나리오로 가정하고 해석을 수행하였다. 손상이 없는 경우의 응답을 기준으로 강판의 상부와 하부에 기계적인 손상이 있는 경우에 발생하는 응답을 비교하였다. 동적유한요소 프로그램인 ANSYS/LS-DYNA를 사용하여 결함탐지 해석을 수행하였다. 결과적으로 손상의 종류에 따라 응답신호의 진폭 감소가 나타났으며 손상의 크기가 커질수록 진폭 감소가 커지는 결과를 나타내었다.

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Detection Performance Analysis of Underwater Vehicles by Long-Range Underwater Acoustic Communication Signals (장거리 수중 음향 통신 신호에 의한 수중 운동체 피탐지 성능 분석)

  • Hyung-Moon, Kim;Jong-min, Ahn;In-Soo, Kim;Wan-Jin, Kim
    • Journal of the Korea Society for Simulation
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    • v.31 no.4
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    • pp.11-22
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    • 2022
  • Unlike a short-range, a long-range underwater acoustic communication(UWAC) uses low frequency signal and deep sound channel to minimize propagation loss. In this case, even though communication signals are modulated using a covert transmission technique such as spread spectrum, it is hard to conceal the existence of the signals. The unconcealed communication signal can be utilized as active sonar signal by enemy and presence of underwater vehicles may be exposed to the interceptor. Since it is very important to maintain stealthiness for underwater vehicles, the detection probability of friendly underwater vehicles should be considered when interceptor utilizes our long-range UWAC signal. In this paper, we modeled a long-range UWAC environment for analyzing the detection performance of underwater vehicles and proposed the region of interest(ROI) setup method and the measurement of detection performance. By computer simulations, we yielded parameters, analyzed the detection probability and the detection performance in ROI. The analysis results showed that the proposed detection performance analysis method for underwater vehicles could play an important role in the operation of long-range UWAC equipment.

Underwater Acoustic Barrier with Passive Ocean Time Reversal and Application to Underwater Detection (수동형 해양 시역전 수중음향장벽과 수중탐지에의 응용)

  • Shin, Keecheol;Kim, Jeasoo
    • The Journal of the Acoustical Society of Korea
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    • v.31 no.8
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    • pp.551-560
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    • 2012
  • Target detection by acoustic barrier method includes active and passive sonar technique and time reversal process whose theoretical background is already well defined. In this paper, the concept and theory of underwater detection by passive ocean time reversal is established. Also, the reason that this study was conducted was to investigate feasibility of complex mathematical modeling to provide some predictive capability for underwater acoustic barrier with passive time reversal. It may eventually lead to a useful predictive tool when designing underwater acoustic barrier detection system using the passive time reversal concept.

Estimation of underwater acoustic uncertainty based on the ocean experimental data measured in the East Sea and its application to predict sonar detection probability (동해 해역에서 측정된 해상실험 데이터 기반의 수중음향 불확정성 추정 및 소나 탐지확률 예측)

  • Dae Hyeok Lee;Wonjun Yang;Ji Seop Kim;Hoseok Sul;Jee Woong Choi;Su-Uk Son
    • The Journal of the Acoustical Society of Korea
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    • v.43 no.3
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    • pp.285-292
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    • 2024
  • When calculating sonar detection probability, underwater acoustic uncertainty is assumed to be normal distributed with a standard deviation of 8 dB to 9 dB. However, due to the variability in experimental areas and ocean environmental conditions, predicting detection performance requires accounting for underwater acoustic uncertainty based on ocean experimental data. In this study, underwater acoustic uncertainty was determined using measured mid-frequency (2.3 kHz, 3 kHz) noise level and transmission loss data collected in the shallow water of the East Sea. After calculating the predictable probability of detection reflecting underwater acoustic uncertainty based on ocean experimental data, we compared it with the conventional detection probability results, as well as the predictable probability of detection results considering the uncertainty of the Rayleigh distribution and a negatively skewed distribution. As a result, we confirmed that differences in the detection area occur depending on each underwater acoustic uncertainty.

Effectiveness Analysis Tool for Underwater Acoustics Detection in Quasi-static Underwater Acoustics Channel based on Underwater Environmental Information DB (수중 환경 정보 DB 기반 준-정적 수중음향 채널 수중음향 탐지 효과도 분석 모의 도구 구현)

  • Kim, Jang Eun;Han, Dong Seog
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.10
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    • pp.148-158
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    • 2015
  • It is difficult to test a detection system in underwater acoustics channel environments. The system can be evaluated by using simulation analysis tool. In this paper, a simulation tool is proposed to analyze the effectiveness of underwater acoustics detection based on database for real environments. First, the underwater environment is built based on HYCOM underwater environment database. Then, a multipath characteristic is considered through calculating underwater acoustics propagation path/pressure based on the ray theory. Also, hydrophone thermal noise and underwater ambient noise are considered to reflect underwater noise characteristics.

Underwater Transient Signal Detection Using Higher-order Statistics and Wavelet Analysis (고차통계 기법과 웨이브렛을 이용한 수중 천이신호 탐지)

  • 조환래;오선택;오택환;나정열
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.8
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    • pp.670-679
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    • 2003
  • This paper deals with application of wavelet transform, which is known to be good for time-frequency analysis, in order to detect the underwater transient signals embedded in ambient noise. A new detector of acoustic transient signals is presented. It combines two detection tools: wavelet analysis and higher-order statistics. Using both techniques, the detection of the transient signal is possible in low signal to noise ratio condition. The proposed algorithm uses the wavelet transform of a partition of the signal on frequency domain, and then higher-order statistics tests the Gaussian nature of the segments.

Underwater Transient Signal Classification Using Eigen Decomposition Based on Wigner-Ville Distribution Function (위그너-빌 분포 함수 기반의 고유치 분해를 이용한 수중 천이 신호 식별)

  • Bae, Keun-Sung;Hwang, Chan-Sik;Lee, Hyeong-Uk;Lim, Tae-Gyun
    • The Journal of the Acoustical Society of Korea
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    • v.26 no.3
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    • pp.123-128
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    • 2007
  • This Paper Presents new transient signal classification algorithms for underwater transient signals. In general. the ambient noise has small spectral deviation and energy variation. while a transient signal has large fluctuation. Hence to detect the transient signal, we use the spectral deviation and power variation. To classify the detected transient signal. the feature Parameters are obtained by using the Wigner-Ville distribution based eigenvalue decomposition. The correlation is then calculated between the feature vector of the detected signal and all the feature vectors of the reference templates frame-by-frame basis, and the detected transient signal is classified by the frame mapping rate among the class database.

Underwater transient signal detection based on CFAR Power-Law using Doubel-Density Discerte Wavelet Transform coefficient (Double-Density 이산 웨이블렛 변환의 계수를 이용한 CFAR Power-Law기반의 수중 천이 신호 탐지)

  • Jung, Seung-Taek;Cha, Dae-Hyun;Lim, Tae-Gyun;Kim, Jong-Hoon;Hwang, Chan-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.175-179
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    • 2007
  • To existing method which uses energy variation and spectrum deviation to detect the underwater transient signal is useful to detect white noise environment, but it is not useful to do colored noise environment. To improve capacity of detecting the underwater transient signal both in white noise environment and colored noise environment, this study takes advantage of Double Density Discrete Wavelet Transform and CFAR Power-Law.

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Some case histories to detect underwater buried objects by electrical and magnetic methods (수중 매장물 조사에 응용되는 전기 및 자기 탐사사례)

  • JUNG Hyun Key;Park Yeong-Sue;Lim Mutaek;Rim Hyoungrae
    • 한국지구물리탐사학회:학술대회논문집
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    • 2004.08a
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    • pp.118-137
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    • 2004
  • Recently underwater geophysical problems for historical relics or UXO's are raised frequently. This study includes the applicabilities and limitations of the recent underwater metal detector and domestic case stories for underwater survey by electrical and magnetic method. Direct or indirect case stories are electrical and vertical magnetic gradiometry surveys beneath Han-river bottom for planning subway tunnel, electrical exploration on lake-bottom, electrical exploration on the tidal flats using high-power transmitter, and borehole three-component magnetic and electromagnetic surveys for detecting the undersea objects. A design of potable real-time, high-speed measurement system using multi-channel array sensors is also introduced here. Further study will be focussed on practical field applications of the fast water-bottom scanning system which is lately required by actual field.

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Application of LFM Reverberation Suppression Using Difference of Singular Values in the Underwater Obstacle Detection (수중 장애물 탐지에서의 특이 값 차이를 이용한 LFM 잔향 감소 기법 적용 연구)

  • Lee, Hyung-Soo;Kwon, Bum-Soo;Cho, Chom-Gun;Lee, Kyun-Kyung
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.8
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    • pp.755-760
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    • 2009
  • In this paper, we apply a reverberation suppression method using difference of singular values to improve the short-distance underwater obstacle detection probability in reverberation environment induced by a linear frequency modulation signal. The reverberation suppression method using difference of singular values suppresses LFM reverberation based on subtracting the singular values for a reference beam, assumed to contain only the reverberation, from those for the current beam of interest, assumed to contain the reverberation and target echo. For the validation, the reverberation suppression method using difference of singular values is applied to real oceanic data, which are acquired using the cross type array.