• Title/Summary/Keyword: 표적신호

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Target Scattering Echo Simulation by Geometry Acoustic Theory (GAT(Geometry Acoustic Theory)에 의한 표적신호 합성)

  • 신기철
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1998.06c
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    • pp.473-476
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    • 1998
  • 본 연구에서는 GAT(Geometry Acoustic Theory)를 이용한 표적신호 합성모델의 이론적 배경을 제시하고, 수치모델의 결과를 음향수조에서 축소표적 실험자료 결과와 비교한다. GAT에 의한 표적신호 합성모델은 3차원 해양환경에서 음원과 표적에 의한 음장을 적절히 묘사할 뿐만 아니라 표적 형상에 의한 효과를 정밀하게 계산함으로써 고 정밀도의 표적신호 합성을 가능하게 한다.

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Tonal Signal Detection for Acoustic Targets using ASM Neural Network (ASM 신경망을 이용한 음향 표적의 토날 신호 탐지)

  • 이성은
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1996.06a
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    • pp.22-28
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    • 1996
  • 수동 소나 시스템에서 표적을 탐지, 식별하는데 가장 중요한 인자는 표적에서 발생되는 토날 신호 성분이다. 수중의 주변잡음과 표적소음이 복합된 환경하에서 표적의 토날 신호성분을 정확히 추출하는데는 신호 탐지 준위 설정이나 주변 잡음의 변화에 의해 어려움이 있다. 본 논문에서는 ASM 신경망을 이용하여 신호 탐지 준위 설정이나 주변잡음의 변화에 강인한 음향 표적의 토날 신호 탐지 방식을 제안한다. 모의 시뮬레이션 및 실제 표적 신호에 적용하여 우수한 토날 신호 탐지 성능을 보인다.

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Target Scattering Echo Simulation for Active Sonar System in the Geometric Optics Region (기하광학영역에서의 능동소나 표적신호합성)

  • 신기철;박재은;김재수;최상문;김우식
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.3
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    • pp.91-97
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    • 2001
  • Since the new field information of target signal is important in the development and verification of active sonar system, experimental method and simulation technique are widely used in order to analyze the detail characteristics of target scattered echoes. Therefore, in this paper, the scale target experiment is performed to develope and Improve the target signal simulation model. Since the experimental results show that the specular reflection is the major component among scattering mechanisms, the target signal simulation model based on the Geometric Optics Theory (GOT) is developed. Complex target is separated into simple shapes, known as canonical shape. The contribution from individual canonical shapes are summed with proper phase and amplitude to produce the target strength of the whole complex body. Simulated target signal is compared with the experimental results and discussed.

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Modeling and Experimental Verification of Echo Characteristics of 3 Dimensional Underwater Target (3차원 수중 표적의 반향특성 모델링과 실험적 검증)

  • You, Seung-Ki;Kim, Sunhyo;Choi, Jee Woong;Kang, Donhyug;Jeong, Dongmin
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.3
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    • pp.174-183
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    • 2014
  • When a active sonar signal is transmitted and returned back from a target, it has been distorted by various properties of acoustic channel such as multipath arrivals. And signals have been appeared to be different form by target position and attitude. Therefore, we simulated the target echo signal using 3 dimensional target model include reflects target features. In this paper, we develop components form of a simulated target model is made up equally spaced highlight points, and each part of the target consists of shape function. We can simulate a target echo signal and Target strength (TS) according to wave incident angle. To verify, we made small scale target in kit form and we had got underwater target signal for comparing simulation result in water tank.

Synthesis and Classification of Active Sonar Target Signal Using Highlight Model (하이라이트 모델을 이용한 능동소나 표적신호의 합성 및 인식)

  • Kim, Tae-Hwan;Park, Jeong-Hyun;Nam, Jong-Geun;Lee, Su-Hyung;Bae, Keun-Sung
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.2
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    • pp.135-140
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    • 2009
  • In this paper, we synthesized active sonar target signals based on highlights model, and then carried out target classification using the synthesized signals. If the target aspect angle is changed, the different signals are synthesized. To know the result, two different experiments are done. First, The classification results with respect to each aspect angle are shown. Second, the results in two group in aspect angle are acquired. Time domain feature extraction is done using matched filter and envelope detection. It shows the pattern of each highlights. Artificial neural networks and multi-class SVM are used for classifying target signals.

MOving Spread Target signal simulation (능동 표적신호 합성)

  • Seong, Nak-Jin;Kim, Jea-Soo;Lee, Snag-Young;Kim, Kang
    • The Journal of the Acoustical Society of Korea
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    • v.13 no.2
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    • pp.30-37
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    • 1994
  • Since the morden targets are of high speed and getting quiet in both active and passive mode, the necessities of developing advanced SONAR system capable of performing target motion analysis (TMA) and target classification are evident. In order to develop such a system, the scattering mechanism of complex bodies needs to be, some extent, fully understood and modeled. In this paper, MOving Spread Target(MOST) signal simulation model is presented and discussed. The model is based on the highlight distribution method, and simulates pulse elongation of spread target, doppler effect due to kinematics of the target as well as SONAR platform, and distribution target strength of each highlight point (HL) with directivity. The model can be used in developing and evaluating advanced SONAR system through system simulation, and can also be used in the development of target state estimation algorithm.

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Pattern Recognition for the Target Signal Using Acoustic Scattering Feature Parameter (표적신호 음향산란 특징파라미터를 이용한 패턴인식에 관한 연구)

  • 주재훈;신기철;김재수
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.4
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    • pp.93-100
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    • 2000
  • Target signal feature parameters are very important to classify target by active sonar. Two highly correlated broad band pulses separated by time T have a time separation pitch(TSP) of 1/T Hz which is equal to the trough-to-trough or peak-to-peak spacing of its spectrum. In this study, TSP informations which represent feature of each target signal were effectively extracted by the FFT. The extracted TSP feature parameters were also applied to the pattern recognition algorithm to classify target and to analyze their properties.

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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.

Near-field Target Localization using Bottom-mounted Linear Sensor Array in Multipath Environment (다중경로환경에서 해저고정형 선배열센서를 이용한 근거리표적의 위치추정기법)

  • 이수형;류창수;이철목;이균경
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.763-766
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    • 2000
  • 본 논문에서는 해저 고정형 선배열센서를 이용하여 다중경로 신호를 이용한 근거리표적의 위치 추정 알고리즘을 제안하였다. 다중경로를 통하여 근거리 표적의 신호가 센서에 도달하는 경우 각 신호의 원추각이 다르므로 신호들의 원추각과 시간차를 추정해서 3차원 표적의 위치를 추정할 수 있다. 원거리표적으로 가정하고 추정한 원추각과 신호들의 시간차에 대한 관계식을 유도하였으며 이들을 연립하여 표적의 위치를 추정하였다. 그러나 표적이 위치한 기하학적인 위치에 따라 신호들의 원추각이 거의 같아지는 지점이 존재한다. 이 경우 부가적인 1차원 탐색으로 표적의 위치를 추정하였다.

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The elimination of the reverberation signals by using the adaptive filter (적응 필터를 이용한 잔향음 제거)

  • Park Kyoungju;Choi Jee-Woong;Na Jungyul;Na Young-Nam
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.241-244
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    • 2000
  • 잔향음 세한 환경에서 능동소오나를 운용시 잔향음은 표적탐지를 저해하는 중요한 요인으로 작용한다. 그러한 환경에서 잔향음을 효과적으로 제거하고 표적신호를 보존하기 위한 기법으로 priori estimation error를 사용하는 deterministic LSL(least squares lattice) 알고리즘을 적용하였으며, LSL 필터의 입력신호는 천해에서 고주파 센서를 이용하여 실측한 CW 및 FM 잔향음신호와 모의된 표적신호를 합성한 신호를 이용하였다. 모의 실험 결과 잔향음신호는 상당히 감소되었을 뿐 만 아니라 도플러 변화가 없는 표적신호에 대해서도 LSL필터는 양호한 응답을 보였다.

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