• Title/Summary/Keyword: 음향 표적

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Single Ping Clutter Reduction Algorithm Using Statistical Features of Peak Signal to Improve Detection in Active Sonar System (능동소나 탐지 성능 향상을 위한 피크 신호의 통계적 특징 기반 단일 핑 클러터 제거 기법)

  • Seo, Iksu;Kim, Seongweon
    • The Journal of the Acoustical Society of Korea
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    • v.34 no.1
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    • pp.75-81
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    • 2015
  • In active sonar system, clutters degrade performance of target detection/tracking and overwhelm sonar operators in ASW (Antisubmarine Warfare). Conventional clutter reduction algorithms using consistency of local peaks are studied in multi-ping data and tracking filter research for active sonar was conducted. However these algorithms cannot classify target and clutters in single ping data. This paper suggests a single ping clutter reduction approach to reduce clutters in mid-frequency active sonar system using echo shape features. The algorithm performance test is conducted using real sea-trial data in heavy clutter density environment. It is confirmed that the number of clutters was reduced by about 80 % over the conventional algorithm while retaining the detection of target.

A study on the improvement of robust automatic initiated tracking on narrowband target (협대역표적 추적자동개시의 견실성 향상에 대한 연구)

  • Kim, Seong-Weon;Cho, Hyeon-Deok;Kwon, Taek-Ik
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.6
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    • pp.549-558
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    • 2020
  • In this paper, the method is discussed such that the robustness of automatic initiated narrowband target tracking is improved in passive sonar. In the case of automatic tracking initiation as target in passive sonar, due to a number of clutter, the clutter is initiated as target and tracked which prohibits the operation capability. The associated probability and information entropy of measurements, extracted from detection data, is calculated to keep going on automatic target initiation and tracking of true target, but reduce the automatic initiation and tracking of clutter. If the association probability and information entropy of the extracted measurements is satisfied for the predefined conditions, the procedure of automatic initiation begins. Using sea-trial data, simulations are executed and the results from the proposed method indicate that it keeps the automatic target initiation and tracking of true target and suppresses the automatic target initiation and tracking of clutters in contrary to the conventional method.

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.

Target Feature Extraction using Wavelet Coefficient for Acoustic Target Classification in Wireless Sensor Network (음향 표적 식별을 위한 무선 센서 네트워크에서 웨이블릿 상수를 이용한 표적 특징 추출)

  • Cha, Dae-Hyun;Lee, Tae-Young;Hong, Jin-Keung;Han, Kun-Hee;Hwang, Chan-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.3
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    • pp.978-983
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    • 2010
  • Acoustic target classification in wireless sensor network is important research at environmental surveillance, invasion surveillance, multiple target separation. General sensor node signal processing methods concentrated on received signal energy based target detection and received raw signal compression. The former is not suited to target classification because of almost every target information are lost except target energy. The latter bring down life-time of sensor node owing to high computational complexity and transmission energy. In this paper, we introduce an feature extraction algorithm for acoustic target classification in wireless sensor network which has time and frequency information. The proposed method extracts time information and de-noised target classification information using wavelet decomposition step. This method reduces communication energy by 28% of original signal and computational complexity.

Target motion analysis algorithm using an acoustic propagation model in the ocean environment of South Korea (한국 해양환경에서 음파전달모델을 이용한 표적기동분석 알고리즘)

  • Seo, Ki Hoon
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.4
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    • pp.387-395
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    • 2019
  • TMA (Target Motion Analysis) in passive sonar is generally conducted with the bearing only or the bearing frequency. In order to conduct TMA fast and accurately, it is essential to estimate a initial target maneuver precisely. The accuracy of TMA can be improved by using SNR (Signal to Noise Ratio) information and acoustic propagation model additionally. This method assumes that the radiated noise level of the target is known, but the accuracy of TMA can be degraded due to a mismatch between the assumed radiated noise level and the actual radiated noise level. In this paper, TMA with the acoustic propagation model, bearing measurements, and SNR information is conducted in the ocean environment of South Korea (East Sea/ Yellow Sea/ South Sea). And the performance analysis of TMA for the mismatch in the radiated noise is presented.

Submarine bistatic target strength analysis based on bistatic-to-monostatic conversion (양상태-단상태 변환 기반 잠수함 양상태 표적강도 해석)

  • Kookhyun Kim;Sung-Ju Park;Keunhwa Lee;Dae-Seung Cho
    • The Journal of the Acoustical Society of Korea
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    • v.43 no.1
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    • pp.138-144
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    • 2024
  • This paper presents a bistatic to monostatic conversion technique to analyze the bistatic target strength of submarines. The technique involves determining the transmission path length of acoustic waves, which are emitted from a source, scattered off an underwater target, and eventually received by a receiver. By generating a corresponding virtual scattering surface, this method effectively transforms the target strength analysis problem from bistatic to monostatic. The converted monostatic target strength problem can be assessed using a well-established monostatic numerical methods. The bistatic target strength analysis for Benchmark Target Strength Simulation (BeTTSi), a widely used target strength model were performed. The results were compared with those calculated by boundary element methods and Kirchhoff approximation, and confirmed the validity and the practical applicability of the proposed analysis technique for evaluating submarine target strength.

능동 소나 체계에서의 표적 탐지 거리 예측 알고리즘과 응용

  • 박재은
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1993.06a
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    • pp.186-189
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    • 1993
  • 능동 소나 체계에서 표적의 탐지거리 예측을 위하여 소나방정식이 이용되는데, 이는 음원 준위, 전달 손실, 표적 강도, 복반사 준위, 소음 준위, 방향성 이득, Detection threshold, Signal excess, 탐지 확률과 탐지거리의 요소로 구성된다. 본 연구에서는 능동 소나 체계에서 소나 깊이와 표적 깊이의 함수인 탐지거리를 계산하기 위한 알고리즘에 대해 살펴보았다. 소나의 각 요소와 환경이 주어졌을 때 SAFARI 모델을 이용하여 각 수신기의 깊이와 거리에서의 전달손실을 계산하였으며, 구하여진 전달 손실과 배경 소음 준위를 이용하여 Signal excess를 계산하였다. ROC(Receiver-operating-characteristic) 곡선을 이용하여 Signal excess를 탐지 확률로 계산한 후 두 항을 곱하여 각 깊이별 거리로 적분함으로서 탐지거리를 구하였다. 주파수 30Hz의 전방향 음원을 사용하여 여름의 일반적 음속 분포에서 계산한 결과 100m 음원 보다 300m 음원에서 상대적으로 큰 탐지거리를 얻었으며 각 음원 깊이별 평균 탐지거리는 100m 이하의 표면을 제외한 500m 까지는 거의 일정함을 알 수 있었다.

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A Study on Wideband Beamforming for Left/Right Discrimination (광대역 좌/우 분리 빔 형성 기법 연구)

  • 천승용
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1993.06a
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    • pp.222-225
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    • 1993
  • 일반적임 빔 형성기는 표적의 방위탐지가 가능하지만, 구조적인 특성상 대칭적인 빔을 형성하므로 표적의 좌/우 방위 구분이 불가능하기 때문에 표적의 정확한 방위를 탐지하고자 할 때 좌/우 구분이 가능한 빔 형성기가 필수적이다. 좌/우 분리 빔 형성 기법으로는 카디오이드(Cardioid) 빔 형성기법을 일반적인 빔 형성기에 적용시키는 방법이 최적으로 알려져 왔다. 그러나 좌/우 분리 빔을 형성하기 위해서는 많은 연산량과 하드웨어 설계에 대한 고려가 있어야한다. 본 논문에서는 좌/우 분리 빔 형성을 위하여 주파수 빔 형성기법과 카디오이드 빔 형성기법을 합성하여 적용하였다. 주파수 빔 형성 기법은 짧은 수행시간 동안에 표적의 정보추출을 위하여 고려되었으며, 카디오이드 빔 형성기법은 3개의 센서를 이용하여 센서의 기울기를 보상하여 수행하는 기법을 적용하였다. 또한 방향성 있는 시뮬레이션 신호를 생성하여 좌/우 분리 빔 형성 시뮬레이션을 수행하였다.

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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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Wide-band Matched Field Processing Against Source Motion : STMV (표적의 이동에 의한 영향을 극복하기 위한 광대역 정합장처리)

  • Park J.S.;Kim J.S.;Kim S.I.;Kim Y.G.
    • Proceedings of the Acoustical Society of Korea Conference
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    • autumn
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    • pp.389-392
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    • 2004
  • 정합장처리를 이용한 표적의 탐지는 다양한 종류의 간섭표적들이 존재하는 환경에서 수행될 가능성이 크며, 따라서 분해능이 높은 적응 정합장처리를 사용이 요구된다. 반면 빠르게 움직이는 고소음의 간섭표적이 존재 할 경우에는 적응정합장처리를 수행하기위한 신호단편 (snapshot) 수를 충분하게 사용할 수 없는 상황에 직면하게 된다. 제한된 신호단편을 이용하여 적응정합장처리의 CSDM (cross-spectral density matrix)을 안정적으로 추정하기 위한 목적으로 선형빔형성에서 제안되었던 광대역 STMV (steered minimum varianve) 기법을 도입하였다. MAPLE03 실험환경을 이용하여 STMV의 적응정합장처리 수치실험을 수행하고 특성을 분석하였다.

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