• Title/Summary/Keyword: 소나시스템 구조

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Evolutionary PSR Estimation Algorithm for Feature Extraction of Sonar Target (소나 표적의 특징정보추출을 위한 진화적 PSR 추정 알고리즘)

  • Kim, Hyun-Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.5
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    • pp.632-637
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    • 2008
  • In real system application, the propeller shaft rate (PSR) estimation algorithm for the feature extraction of the sonar target operates with the following problems: it requires both accurate and efficient the fundamental finding method because it is essential and difficult to distinguish harmonic family composed of the fundamental and its harmonics from the multiple spectral lines in the frequency spectrum-based sonar target classification, and further, it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an evolutionary PSR estimation algorithm using an expert knowledge and the evolution strategy, is proposed. To verify the performance of the proposed algorithm, a sonar target PSR estimation is performed. Simulation results show that the proposed algorithm effectively solves the problems in the realtime system application.

Adaptive Beamforming Method for Turning Towed Line Array SONAR (회전하는 견인 선배열 소나의 적응 빔 형성 기법)

  • Lee, Seokjin;Park, Kyung-Min;Chung, Suk-Moon
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.6
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    • pp.383-391
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    • 2014
  • In order to detect underwater acoustic signals, various SONAR array types have been developed, including towed line array SONAR system (TASS). However, the TASS suffers from performance degradation which is caused by aperture deformation during a turn, because the TASS have a long-aperture array. A parabolic array model for turning TASS have been developed to solve the degradation problem occurred during a turn. In this paper, adaptive beamforming system is developed using the parabolic TASS model to cancel interference signals. The developed beamforming system is based on generalized sidelobe canceller (GSC) structure and self-tuning adaptive algorithm.

Develoment of Submarine Acoustic Information Management System 1.0 (잠수함용 소나성능예측시스템 SAIMS 1.0 개발)

  • Na Young-Nam;Kim Young-Gyu;Kim Seong-Il;Cho Chang-Bong;Kim Hyung-Soo;Lee Young-Kon;Lee Seong-Hoo
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.195-198
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    • 2004
  • 국과연은 현재 해군에서 운용중인 잠수함의 주요 장비와 연동하고 소나의 탐지성능예측이 가능한 시스템 SAIMS1.0을 개발하였다. 본 시스템의 설계 개념은 다음과 같다. 1) 저주파$\~$고주파 영역 음장계산을 위한 음향모델을 실용화하여 탑재한다. 2) 함 탑재장비와 ENC 기반 전술정보처리용 해도를 연동하여 생산된 음탐정보의 적용성을 최대화한다. 3) 광해역에 대한 정밀 DB를 구축하여 운용한다. 4) CTD 정보로부터 수직음속구조를 추정하는 알고리즘을 개발/탑재한다. 개발된 시스템은 '03.10.-'04.2. 기간 실시된 시험평가를 통해 적용성을 검증하였다.

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Intelligent Feature Extraction and Scoring Algorithm for Classification of Passive Sonar Target (수동 소나 표적의 식별을 위한 지능형 특징정보 추출 및 스코어링 알고리즘)

  • Kim, Hyun-Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.5
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    • pp.629-634
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    • 2009
  • In real-time system application, the feature extraction and scoring algorithm for classification of the passive sonar target has the following problems: it requires an accurate and efficient feature extraction method because it is very difficult to distinguish the features of the propeller shaft rate (PSR) and the blade rate (BR) from the frequency spectrum in real-time, it requires a robust and effective feature scoring method because the classification database (DB) composed of extracted features is noised and incomplete, and further, it requires an easy design procedure in terms of structures and parameters. To solve these problems, an intelligent feature extraction and scoring algorithm using the evolution strategy (ES) and the fuzzy theory is proposed here. To verify the performance of the proposed algorithm, a passive sonar target classification is performed in real-time. Simulation results show that the proposed algorithm effectively solves sonar classification problems in real-time.

The Research on the Software Development for the Hardware Error Correction of MBES (Mutlibeam Echo Sounder) (멀티빔 음향 측심기에서 하드웨어 오류 보정을 위한 소프트웨어 개발에 관한 연구)

  • Lee, Ji Eun;Oh, Young Suk
    • Smart Media Journal
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    • v.5 no.1
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    • pp.9-14
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    • 2016
  • Although the ocean observation and exploration equipment is necessary for the oceanographical observation and strengthening influence of the nation and the resource preemption, it depended on the oversees adoption rather than the domestic development. The MBESs were developed for seabed topography, sedimentary distribution information and underwater objects exploration, but there is no domestic production. So in this research we try the localization of the marine acoustic sounder. Especially about correcting the error occurred on the hardware, we confirmed it on software.

Target Signal Simulation in Synthetic Underwater Environment for Performance Analysis of Monostatic Active Sonar (수중합성환경에서 단상태 능동소나의 성능분석을 위한 표적신호 모의)

  • Kim, Sunhyo;You, Seung-Ki;Choi, Jee Woong;Kang, Donhyug;Park, Joung Soo;Lee, Dong Joon;Park, Kyeongju
    • The Journal of the Acoustical Society of Korea
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    • v.32 no.6
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    • pp.455-471
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    • 2013
  • Active sonar has been commonly used to detect targets existing in the shallow water. When a signal is transmitted and returned back from a target, it has been distorted by various properties of acoustic channel such as multipath arrivals, scattering from rough sea surface and ocean bottom, and refraction by sound speed structure, which makes target detection difficult. It is therefore necessary to consider these channel properties in the target signal simulation in operational performance system of active sonar. In this paper, a monostatic active sonar system is considered, and the target echo, reverberation, and ambient noise are individually simulated as a function of time, and finally summed to simulate a total received signal. A 3-dimensional highlight model, which can reflect the target features including the shape, position, and azimuthal and elevation angles, has been applied to each multipath pair between source and target to simulate the target echo signal. The results are finally compared to those obtained by the algorithm in which only direct path is considered in target signal simulation.

Study on Local Path Control Method based on Beam Modeling of Obstacle Avoidance Sonar (장애물회피소나 빔 모델링 기반의 국부경로제어 기법 연구)

  • Kim, Hyun-Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.2
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    • pp.218-224
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    • 2012
  • Recently, as the needs of developing the micro autonomous underwater vehicle (AUV) are increasing, the acquisition of the elementary technology is urgent. While they mostly utilizes information of the forward looking sonar (FLS) in conventional studies of the local path control as an elementary technology, it is desirable to use the obstacle avoidance sonar (OAS) because the size of the FLS is not suitable for the micro AUV. In brief, the local path control system based on the OAS for the micro AUV operates with the following problems: the OAS offers low bearing resolution and local range information, it requires the system that has reduced power consumption to extend the mission execution time, and it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an intelligent local path control algorithm based on the beam modeling of OAS with the evolution strategy (ES) and the fuzzy logic controller (FLC), is proposed. To verify the performance and analyze the characteristic of the proposed algorithm, the course control of the underwater flight vehicle (UFV) is performed in the horizontal plane. Simulation results show that the feasibility of real application and the necessity of additional work in the proposed algorithm.

Self-noise Cancellation in the Passive Sonar System (수동 소나 시스템에서 자체 잡음 제거)

  • 박상택
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1991.06a
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    • pp.117-121
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    • 1991
  • 본 논문은 견인선(tow-ship)에서 발생하는 자체 잡음을 제거하여 수중 신호처리 시스템에서 표적 탐지(target detection)와 표적 식별(target identification) 등의 성능 향상을 위하여 표적 방향으로 형성된 빔의 출력을 원시 입력신호(primary input)로 사용하고 견인선 방향으로 형성된 빔의 출력을 참고 입력신호(reference input)로 사용한 적응 잡음 제거기(adaptive noise canceller)에 대해 연구하였다. 잡음 제거를 위해 사용되는 계수들은 LMS(Least Mean Square) 알고리듬을 이용하여 조정하였다. 컴퓨터 시뮬레이션을 통하여 TDL(Tapped-Delay Line) 구조와 LAT(LATtice) 구조를 갖는 적응 잡음 제거기 성능을 여러 가지 환경에서 비교, 관찰하였다. 두 알고리듬을 사용할 경우, 자체 잡음이 어떠한 형태로 나타나더라도 제거시킬 수 있음을 보여 주었으나 고유값 분포율(eigenvalue spread ratio)이 큰 경우에는 LMS-LAT가 LMS-TDL보다 수렴 속도뿐만 아니라 성능면에서도 우수함을 보였다.

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Acoustic Characteristics Analysis of piezoelectric Underwater Acoustic Sensors Using Finite Element Method. (유한요소법을 이용한 압전 수중음향센서의 음향특성 해석)

  • Son Sun Bong;Kim Jae Hwan
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.253-256
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    • 2000
  • 본 연구에서는 유한요소법(FEM)을 이용하여 압전 수중음향센서의 모델링 및 음향특성을 해석하였다. 압전 복합구조 수중음향센서의 해석에서 기본적인 압전-탄성 구조물과 유체-구조물의 연성해석을 위한 유한요소 정식화를 하였으며 무한영역의 음향유체를 처리하기 위하여 IWEE(Infinite Wave Envelop Element)를 도입하였다. Topilz형 수중음향센서를 수중 산란체로 볼 경우 입사파가 산란체의 표면을 가진할 때 산란체로부터 발생되는 산란파는 IWEE로 인하여 무한 유체영역에서의 산란파의 감소특성을 갖게되어 무한영역을 유한영역으로 나눈 인위적인 경계에서 반사가 일어나지 않게 되므로 산란파의 음압을 정확히 구할 수 있었다. 또한, 이러한 산란해석을 바탕으로 입사파에 대한 음향센서 내부의 전기적 응답특성인 RVS(Receiving Voltage Signal)를 구하였다. 이러한 일련의 연구 과정들은 소나(SONAR) 시스템을 정확히 해석하고 음향특성을 예측하는 데 큰 도움이 될 것이다.

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Efficient Partitioning of Matched Filter for Long Pulse in Active Sonar Application (능동 소나에서 시간적으로 긴 펄스에 대한 정합 필터의 효율적인 분할 기법)

  • Shin, Donghoon;Kim, Jin Seok
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.4
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    • pp.262-267
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    • 2014
  • Recently, long pulses are transmitted for target detection in active sonar application. Matched filtering implemented by simple convolution algorithm, requires massive computational power for long replica. The computational loads are reduced significantly by implementing the convolution in the frequency domain with overlap add method, but the performance degrades for specified input/output system delay which constrains the size of FFT function. For performance improvement, the replica could be partitioned into uniform blocks (FDL) by re-using IFFT operations, or variable blocks of increasing length (MC) by using the largest possible blocks to calculate the convolution. In this paper, by combining the strong points of the two methods, we propose a new filter partition structure that allows for further optimization of the previous two methods.