• 제목/요약/키워드: Sonar Signal Processing

검색결과 87건 처리시간 0.023초

Signal Synthesis Model for Active Sonar Performance Analysis (능동소나 성능분석을 위한 신호 합성 모델)

  • 이균경
    • Proceedings of the IEEK Conference
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    • 대한전자공학회 1999년도 하계종합학술대회 논문집
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    • pp.683-686
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    • 1999
  • In this paper, we develop an active sonar signal synthesis model to analyze the detection performance of active sonar systems in a shallow water environment. Using this model, we synthesize the return signal of a bistatic sonar system at a typical operating frequency. This signal can be used to test proper active sonar signal processing techniques for real applications.

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An Implementation of Real-Time SONAR Signal Display System using the FPGA Embedded Processor System (FPGA 임베디드 프로세서 시스템을 사용한 실시간 SONAR 선호 디스플레이 시스템의 구현)

  • Kim, Dong-Jin;Kim, Dae-Woong;Park, Young-Seak
    • Journal of the Institute of Convergence Signal Processing
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    • 제12권4호
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    • pp.315-321
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    • 2011
  • The CRT monitor display system for SONAR signal that are commonly used in ships or naval vessels uses vector scanning method. Therefore the processing circuits of the system is complex. Also because production had been shut down, the supply of parts is difficult as well as high-cost. FPGA -based embedded processor system is flexible to adapting to various applications because it makes simple processing circuits and its core is easily reconfigurable, and provides high speed performance in low-cost. In this paper, we describe an implementation of SONAR signal LCD display system using the FPGA embedded processor system to overcome some weakness of existing CRT system. By changing X-Y Deflection and CRT control blocks of current system into FPGA embedded processor system, our system provides the simplicity, flexibility and low-cost of system configuration, and also real-time acquisition and display of SONAR signal.

An Implementation of FPGA Embedded System for Real-Time SONAR Signal Display Using the Triple Buffering Method (삼중 버퍼링 방법을 이용한 실시간 소나 신호 디스플레이를 위한 FPGA 임베디드 시스템의 구현)

  • Kim, Dong-Jin;Park, Young-Seak
    • IEMEK Journal of Embedded Systems and Applications
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    • 제9권3호
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    • pp.173-182
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    • 2014
  • The CRT monitor display system for SONAR signal that are commonly used in ships or naval vessels uses vector scanning method. Therefore the processing circuits of the system are complex. Also the purchase of parts is difficult as well as high-cost because the production had been shut down. FPGA-based embedded system is flexible to various digital applications because it can be able to simplify processing circuits and to make a easy customized design for end user, and it provides low-cost high-speed performance. In this paper, we describe an implementation of FPGA embedded system for real-time SONAR signal display using the triple buffering method to overcome some weakness of existing CRT system. Our system provides real-time acquisition and display capability of SONAR signal, and removes afterimage effect that is a critical problem of the system proposed in the preceding study.

Realtime active target signal simulation (능동표적신호합성 알고리듬의 실시간 구현)

  • 김희성;신기철;김우식;한동훈;최상문;김재수
    • Journal of Ocean Engineering and Technology
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    • 제11권3호
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    • pp.163-169
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    • 1997
  • The simulation of target-scattered echo with the moving sonar platform and target in 3-dimensional ocean environment is essential to validate and evaluate the performance of a sonar system. This paper presents the improved target signal simulation on the basis of the highlight(HL) model and its realtime algorithm. In order to simulate the scattering highlight, the highlight is represented as a directional scatterer. The realtime generation algorithm of the target signal is realized by use of DSP chip, TMS320C40, where the 40 channels are equally separated to form a parallel processing task in 4 processors. The presented realtime-version of target signal simulation can be used as a target signal simulator in the development of ACM(Acoustic Counter Measure) and advanced sonar signal processing techniques.

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On the reflected signal processing of Digital Sonar using the AMDF (AMDF를 이용한 Digital Sonar 의 반사신호처리에 관한 연구)

  • 홍우영
    • Proceedings of the Acoustical Society of Korea Conference
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    • 한국음향학회 1984년도 추계학술발표회 논문집
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    • pp.91-95
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    • 1984
  • Because of layer and scattering in the ocean, there are some problem in algorithm currently used for the recognition of targets. Those are time delay of processing and circuit design. The simple method of detecting direct sound wave in noise caused by time delay is proposed-recognized, estimated, and then direcxt sound wave is reconstructed by the AMDF and $\mu$-processor. 2KHz, 4KHz, 8KHz, 12KHz, 16KHz sound waves are used in experiment. To obtain a reference signal, anechoic water tank is used is processing and aluminium water tank used instead of real ocean. As a result, there are a few errors which caused by anechoic water tank error, decreasing of frequency make errors. Possibility of application to Sonar Signal Processing is proved.

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Target/non-target classification using active sonar spectrogram image and CNN (능동소나 스펙트로그램 이미지와 CNN을 사용한 표적/비표적 식별)

  • Kim, Dong-Wook;Seok, Jong-Won;Bae, Keun-Sung
    • Journal of IKEEE
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    • 제22권4호
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    • pp.1044-1049
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    • 2018
  • CNN (Convolutional Neural Networks) is a neural network that models animal visual information processing. And it shows good performance in various fields. In this paper, we use CNN to classify target and non-target data by analyzing the spectrogram of active sonar signal. The data were divided into 8 classes according to the ratios containing the targets and used for learning CNN. The spectrogram of the signal is divided into frames and used as inputs. As a result, it was possible to classify the target and non-target using the characteristic that the classification results of the seven classes corresponding to the target signal sequentially appear only at the position of the target signal.

Association between Object and Sonar Target for Post Analysis of Submarine Engaged Warfare Simulation (잠수함 교전 시뮬레이션의 사후분석을 위한 객체와 소나 표적간의 연관 기법)

  • Kim, Junhyeong;Bae, Keunsung
    • Journal of the Korea Society for Simulation
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    • 제26권3호
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    • pp.65-72
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    • 2017
  • We propose a method to generate the object-target identifier mapping information for system performance and effectiveness analysis of submarine engage system and verify the validity of the proposed method through experiments. In the submarine model of the engage simulator, the signal processing algorithm of the actual sonar system is installed. In the target information obtained through the sonar or signal processing process, the actual object information is not known, and the simulator does not provide such information. Therefore, in this study, we generated identifier mapping information for simulation post-analysis by using bearing, range, and speed of the target obtaind from sonar signal processing and the object collected.

Underwater Acoustic Research Trends with Machine Learning: Passive SONAR Applications

  • Yang, Haesang;Lee, Keunhwa;Choo, Youngmin;Kim, Kookhyun
    • Journal of Ocean Engineering and Technology
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    • 제34권3호
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    • pp.227-236
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    • 2020
  • Underwater acoustics, which is the domain that addresses phenomena related to the generation, propagation, and reception of sound waves in water, has been applied mainly in the research on the use of sound navigation and ranging (SONAR) systems for underwater communication, target detection, investigation of marine resources and environment mapping, and measurement and analysis of sound sources in water. The main objective of remote sensing based on underwater acoustics is to indirectly acquire information on underwater targets of interest using acoustic data. Meanwhile, highly advanced data-driven machine-learning techniques are being used in various ways in the processes of acquiring information from acoustic data. The related theoretical background is introduced in the first part of this paper (Yang et al., 2020). This paper reviews machine-learning applications in passive SONAR signal-processing tasks including target detection/identification and localization.

Sonar Resolution Enhancement Using Overlapped Beam Signal Processing (중첩된 빔 신호처리를 통한 소나 해상도 향상)

  • On, Baeksan;Lee, Jieun;Im, Sungbin
    • Journal of the Institute of Electronics and Information Engineers
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    • 제54권2호
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    • pp.38-43
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    • 2017
  • Many studies about generating images of seabed using active sonar have been carried out but image resolution enhancement is still an important problem. Many methods have been proposed to improve sonar resolution and the approach using narrow beam width is commonly and widely applied to enhance azimuth resolution. Unfortunately, this has technical limitations to reduce the beam width. Therefore, signal processing techniques are essential to achieving higher azimuth resolution when an array with conventional beam width is employed. This paper proposes a new approach that utilizes overlapped beams to obtain higher resolution.

LFM Signal Separation Using Fractional Fourier Transform (Fractional Fourier 변환을 이용한 LFM 신호 분리)

  • Seok, Jongwon;Kim, Taehwan;Bae, Keunsung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • 제17권3호
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    • pp.540-545
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    • 2013
  • The Fractional Fourier transform, as a generalization of the classical Fourier Transform, was first introduced in quantum mechanics. Because of its simple and useful properties of Fractional Fourier transform in time-frequency plane, various research results in sonar and radar signal processing have been introduced and shown superior results to conventional method utilizing Fourier transform until now. In this paper, we applied Fractional Fourier transform to sonar signal processing to detect and separate the overlapping linear frequency modulated signals. Experimental results show that received overlapping LFM(Linear Frequency Modulation) signals can be detected and separated effectively in Fractional Fourier transform domain.