• 한국군사과학기술학회지
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• 제11권3호
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• pp.19-29
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• 2008

Underwater acoustic(UWA) communication is one of the most difficult field in terms of severe channel environments such as multipath propagation, high temporal and spatial variability of channel conditions. Therefore, it is important to model and analyze the characteristics of underwater acoustic channel such as multipath propagation, transmission loss, reverberation, and ambient noise. In this paper, UWA communication channel is modeled with a ray tracing method and applied to image transmission. Quadrature phase shift keying(QPSK) and multichannel decision feedback equalizer(DFE) are utilized as phase-coherent modulation method and equalization technique, respectively. The objective is to improve the performance of the image transmission using vertical sensor array instead of single sensor in the viewpoint of bit error rate(BER), constellation diagram, and received image quality.

• Journal of information and communication convergence engineering
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• 제8권2호
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• pp.163-167
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• 2010

In underwater acoustic communication, acoustic signals from transducers or hydrophones are used. And the underwater acoustic communication channels are very complicated, because of vertical distribution of acoustic velocity according depths, and reflections from boundaries like as surface or bottom. For the implementation of the underwater acoustic communication channel, the image method or ray tracing method have been used. In this paper, we introduce a new approach for implementation of underwater acoustic communication channel using the simulation of the Transmission Line Matrix Modeling and cross-correlations from the input and output signals.

• 융합신호처리학회논문지
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• 제11권3호
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• pp.203-208
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• 2010

본 논문에서는 소나 시스템을 통해 획득된 수중 음향 신호를 디지털 영상의 형태로 변환한다. 그리고 이러한 형태의 영상에 대해 영상 처리 기법을 도입하여 표적 후보를 탐지하고, 이들 영역에 대해 정보를 강화하는 알고리즘을 제안한다. 수중 표적의 탐지 과정은 우선 수중음향신호 영상에서 불규칙한 형태로 분포하고 있는 배경 잡음을 추정하여 재구성한 뒤, 원 영상에서 배경 영상을 제거하여 초기 표적 후보군을 획득한다. 또한 도플러 신호 정보를 가공하여 가중치 맵을 생성하고, 배경잡음이 제거된 영상에 대해 가중치 맵을 이용한 필터링 과정을 수행함으로써 표적 후보에 대한 정보를 보다 정확히 확보하고, 단일프레임에서의 표적 후보 정보를 강화한다. 본 논문에서는 시뮬레이션으로 획득된 수중음향신호에 대해 제안된 알고리즘을 적용하여, 불규칙적으로 발생하게 되는 잡음이 대부분 제거됨을 확인하였고, 필터링 및 표적 탐지 과정을 통해 수중음향신호 영상에서 표적이 더욱 명확히 표시됨을 확인하였다.

• Ocean Systems Engineering
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• 제13권2호
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• pp.195-224
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• 2023

This paper proposes a method for the acoustic imaging wherein the traditional requirement of the relative movement between the transmitter and target is overcome. This is facilitated through the beamforming acoustic array in the transmitter, in which the target is illuminated by the array at various azimuth and elevation angles without the physical movement of the acoustic array. The concept of beam steering of the acoustic array facilitates the formation of the beam at desired angular positions of azimuth and elevation angles. This paper substantiates that the combination of illumination of the target from different azimuth and elevation angles with respect to the transmitter (through the beam steering of beam forming acoustic array) and the beam steering at multiple frequencies (through SF) results in enhanced reconstruction of images of the target in the underwater scenario. This paper also demonstrates the possibility of reconstruction of the image of a target in underwater without invoking the traditional algorithms of Digital Image Processing (DIP). This paper comprehensively and succinctly presents all the empirical formulae required for modelling the acoustic medium and the target to facilitate the reader with a comprehensive summary document incorporating the various parameters of multi-disciplinary nature.

• 한국정보통신학회논문지
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• 제25권2호
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• pp.327-329
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• 2021

Underwater acoustic communication channel is influenced by environmental parameters such as multipath, background noise and scattering. Therefore, a transmitted signal is influenced by the sea surface and the sea bottom boundaries, and a received signal shows a delay spread. These factors create a noise in the image and degrade the quality of underwater acoustic communication. To solve these problems, in this paper, we evaluate the performance of an underwater acoustic communication model using a denoising auto-encoder used for unsupervised learning. Noise images generated by the underwater multipath channel were collected and used as training data. Experimental results were analyzed as a PSNR parameter that expressed the noise ratio of the two images.

• 로봇학회논문지
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• 제15권1호
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• pp.1-7
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• 2020

In this paper, we introduce the methodology that utilizes deep learning-based front-end to enhance underwater feature matching. Both optical camera and sonar are widely applicable sensors in underwater research, however, each sensor has its own weaknesses, such as light condition and turbidity for the optic camera, and noise for sonar. To overcome the problems, we proposed the opti-acoustic transformation method. Since feature detection in sonar image is challenging, we converted the sonar image to an optic style image. Maintaining the main contents in the sonar image, CNN-based style transfer method changed the style of the image that facilitates feature detection. Finally, we verified our result using cosine similarity comparison and feature matching against the original optic image.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
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• pp.110-113
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• 2004

Underwater acoustic(UWA) communication is one of the most difficult field because of several factors such as multipath propagation, high temporal and spatial variability of channel conditions. Therefore, it is important to model and analyze the characteristics of underwater acoustic channel such as multipath propagation, transmission loss, reverberation, and ambient noise. In this paper, UWA communication channel is modeled with a ray tracing method and applied to image transmission. Quadrature phase shift keying(QPSK) and multichannel decision feedback equalizer(DFE) are utilized as phase-coherent modulation method and equalization technique, respectively. The objective is to improve the performance of vertical sensor array than that of single sensor in the viewpoint of bit error rate(BER), constellation output, and received image quality.

• 전자공학회논문지
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• 제50권2호
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• pp.193-200
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• 2013

본 연구에서는 허프 변환을 이용하여 원통형 수중 물체를 식별하는 방법을 제안한다. 이미 광학분야에서는 타원을 식별하는데 허프 변환을 많이 사용하고 있다. 하지만 수중 영상의 경우 낮은 해상도와 잡음 환경으로 인해서 광학에서 사용하는 허프 변환을 그대로 적용하기가 어렵다. 따라서 본 연구에서는 수중 영상의 원통형 물체를 모델링 한 뒤 평균 필터와 다항식 보간법을 적용하여 허프 변환에 적합한 형태로 원통형 물체의 기하학적 깊이 정보를 다시 복원했다. 결과적으로 이 방법을 이용하여 타원 형태의 기하학적 깊이 정보를 복원하고 허프 변환을 적용한 결과 높은 타원 식별률을 나타내었다.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2003년도 춘계학술대회 논문집
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• pp.109-114
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• 2003

Wireless communication systems are inevitable for efficient underwater activities. Because of the poor propagation characteristics of light and electromagnetic waves, acoustic waves are generally used for the underwater wireless communication. Although there are many kinds of information type, visual images take an essential role especially for search and identification activities. For this reason, we developed an acoustic-based underwater image transmission system under a dual use technology project supported by MOCIE (Ministry of Commerce, Industry and Energy). For the application to complicated and time-varying underwater environments all-digital transmitter and receiver systems are investigated. Array acoustic transducers are used at the receiver, which have the center frequency of 32kHz and the bandwidth of 4kHz. To improve transmission speed and quality, various algorithms and systems are used. The system design techniques will be discussed in detail including image compression/ decompression system, adaptive beam- forming, fast RLS adaptive equalizer, ${\partial}/4$ QPSK (Quadrilateral Phase Shift Keying) modulator/demodulator, and convolution coding/ Viterbi. Decoding.

• 한국정보통신학회논문지
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• 제5권1호
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• pp.202-211
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• 2001

본 논문은 수중에서 초음파를 이용하여 데이터를 전송할 때 전체 전송성능에 영향을 주는 Multipath를 수학적으로 분석하였고, 분석된 결과를 이용하여 다중경로의 영향을 고려한 수중 초음파 영상통신 시스템을 설계하였다. 주파수 제약환경에 강인한$\pi/4 QPSK$ 알고리듬을 채택하였고, 수중 초음파 통신에서 발생하는 신호의 Ringing 효과를 상쇄하기 위하여 FM 변조방식을 가미한 Hybrid 변복조 시스템을 설계하였다. 또한, 다중경로의 영향을 상쇄하기 위하여 적응 등화기를 설계하였으며, Baseline PEG 기법을 이용하여 수중영상 압축에 대한 연구를 수행하였다.