• 제목/요약/키워드: Underwater target

검색결과 230건 처리시간 0.026초

수중 표적 반사신호의 새로운 합성방법 (A Novel Synthesis Method of Underwater Target Reflected Signal)

  • 김부일;김우현;박철우;박명호;권우현
    • 한국군사과학기술학회지
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    • 제2권2호
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    • pp.30-39
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    • 1999
  • In this paper, we have proposed a novel method which can compose a reflected signal of the underwater target. The synthesis of the reflected signal in the target, the synthesized signal being similar to the characteristics of the reflected signal in the real target, is used the highlight model at the specific points of the target. We suggest the synthesis method of the reflected signal of the target using the pulsewidth variation and each other doppler effect at the highlight point, and compare the composed signal by the proposed method with that by conventional one. Simulation results show that the composed signal using the proposed method and the reflected signal of the real target is similar to the spectral characteristics.

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Transfer Efficiency of Underwater Optical Wireless Power Transmission Depending on the Operating Wavelength

  • Kim, Sung-Man;Kwon, Dongyoon
    • Current Optics and Photonics
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    • 제4권6호
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    • pp.571-575
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    • 2020
  • Optical wireless power transmission (OWPT) is a good candidate for long-distance underwater wireless power transmission. In this work we investigate the transmission efficiency of underwater OWPT, depending on the operating wavelength. We consider four operating wavelengths: infrared, red, green, and blue. We also consider the cases of pure water and sea water for the working conditions. Our results show that it is necessary to select the operating wavelength of underwater OWPT according to the transmission distance and water type of the target application.

분산 선배열 소나와 레이다를 이용한 표적 연관 기법 (Association Algorithm for the Distributed Passive Linear Arrays and the Radar)

  • 김진석
    • 한국군사과학기술학회지
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    • 제8권1호
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    • pp.25-31
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    • 2005
  • PLA(Passive Linear Array) system has been primarily utilized to detect and track underwater targets, such as submarines. This system has difficulty in distinguishing between underwater targets and surface ships in a dense target environment. And a single-PLA system does not provide target state observability. At least two PLAs are necessary to observe a track uniquely. To classify and localize the underwater targets effectively, first of all, it is very of importance to discriminate the surface ships in the multi-target environment. These problems can be overcome by the association of distributed PLAs and radars. In this paper, we present an algorithm to solve the track-to-track association of the heterogeneous data from three PLAs and one radar are noncollocated with known sensor positions. Also, this paper shows the simulation results to verify the proposed algorithm.

잠수함 선배열소나의 허위표적 정보를 이용한 표적의 거리추정 기법 (Target Range Estimation Method using Ghost Target in the Submarine Linear Array Sonar)

  • 최병웅;김규백
    • 한국군사과학기술학회지
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    • 제18권5호
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    • pp.532-537
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    • 2015
  • In this paper, we propose target range estimation method using ghost target in the submarine linear array sonar. Usually, when submarine detect target, they use passive sonar detection to avoid self-disclosure by active sonar transmission. But, originally, passive linear array sonar have limitation for target range estimation and additional processing is required to get target range information. For the case of near-field target, typical range estimation method is using multiple information by multipath effect in underwater environment. Acoustic signal generated from target are propagated along with numerous multipath in underwater environment. Since multipath target signals received in the linear array sonar have different conic angles each other, ghost target is appeared at the bearing different with real target bearing and sonar operator can find these information on the operation console. Under several assumption, this geometric properties can be analysed mathematically and we get the target range by derivation of this geometric equations using measured conic angles of real target and ghost target.

파형역산 기법을 이용한 수중표적 탐지 연구 (A Study on the Underwater Target Detection Using the Waveform Inversion Technique)

  • 배호석;김원기;김우식;최상문
    • 한국음향학회지
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    • 제34권6호
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    • pp.487-492
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    • 2015
  • 중주파수 및 고주파수 대역을 이용한 근거리 수중표적 탐지와 식별 기술은 이미 성숙단계에 있으나, 수중 위협세력의 은닉화 및 고속화에 따른 저주파수 대역을 이용한 원거리 탐지 요구가 새롭게 대두되고 있다. 본 논문에서 소개할 파형역산 기술은 최근 국내외 석유탐사 관련 학계 및 업계에서 매우 각광받는 최신 기술로, 저주파수 대역을 이용하여 해저 수 킬로미터 이상의 해저 지층을 고해상도로 구축하는 수치해석 기법이다. 이러한 파형역산 기술을 응용하여 작전 해역에서의 해저지층을 영상화하는 동시에, 수중에 위치하는 인공표적의 탐지 가능성을 확인하였다. 본 제안 기술은 인공표적의 형상뿐만 아니라 음파속도 등의 물성정보를 정확하게 추정할 수 있기 때문에 오탐지 확률을 획기적으로 줄일 수 있으리라 기대된다.

능동소나 표적 인식을 위한 신호합성 및 특징추출 (Signal Synthesis and Feature Extraction for Active Sonar Target Classification)

  • 어윤;석종원
    • 한국멀티미디어학회논문지
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    • 제18권1호
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    • pp.9-16
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    • 2015
  • Various approaches to process active sonar signals are under study, but there are many problems to be considered. The sonar signals are distorted by the underwater environment, and the spatio-temporal and spectral characteristics of active sonar signals change in accordance with the aspect of the target even though they come from the same one. And it has difficulties in collecting actual underwater data. In this paper, we synthesized active target echoes based on ray tracing algorithm using target model having 3-dimensional highlight distribution. Then, Fractional Fourier transform was applied to synthesized target echoes to extract feature vector. Recognition experiment was performed using probabilistic neural network classifier.

Shape optimization of blended-wing-body underwater glider by using gliding range as the optimization target

  • Sun, Chunya;Song, Baowei;Wang, Peng;Wang, Xinjing
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제9권6호
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    • pp.693-704
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    • 2017
  • Blended-Wing-Body Underwater Glider (BWBUG), which has excellent hydrodynamic performance, is a new kind of underwater glider in recent years. In the shape optimization of BWBUG, the lift to drag ratio is often used as the optimization target. However this results in lose of internal space. In this paper, the energy reserve is defined as the direct proportional function of the internal space of BWBUG. A motion model, which relates gliding range to steady gliding motion parameters as well as energy consumption, is established by analyzing the steady-state gliding motion. The maximum gliding range is used as the optimization target instead of the lift to drag ratio to optimizing the shape of BWBUG. The result of optimization shows that the maximum gliding range of initial design is increased by 32.1% though an Efficient Global Optimization (EGO) process.

지표레이다 (GPR) 탐사에 의한 하상퇴적물 조사 (Survey of underwater deposits using ground penetrating radar)

  • 장현삼;정성태
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2002년도 정기총회 및 제4회 특별심포지움
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    • pp.163-178
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    • 2002
  • 지표레이다 (GPR)를 이용하여 하상 퇴적물 조사를 수행하였다. 조사지역은 수심이 약 2.5 m 정도로 얕고, 물이 흐르지 않는 호수이며, 조사대상인 뻘 (mud)층의 두께가 얇아 GPR이 매우 효율적인 탐사방법이다. 조사결과 수심하부 층서구조, 즉 뻘층, 모래층, 자갈 및 기반암의 구조를 효율적으로 파악할 수 있었으며, 주 제거대상인 뻘층의 경우 여러개의 탐사 측선으로부터 그 분포 및 총 퇴적량을 추정하였다 이러한 결과는 향후 이 지역에서의 준설을 위한 기초자료로 매우 중요하게 사용될 수 있을 것이다.

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Recovery of underwater images based on the attention mechanism and SOS mechanism

  • Li, Shiwen;Liu, Feng;Wei, Jian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권8호
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    • pp.2552-2570
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    • 2022
  • Underwater images usually have various problems, such as the color cast of underwater images due to the attenuation of different lights in water, the darkness of image caused by the lack of light underwater, and the haze effect of underwater images because of the scattering of light. To address the above problems, the channel attention mechanism, strengthen-operate-subtract (SOS) boosting mechanism and gated fusion module are introduced in our paper, based on which, an underwater image recovery network is proposed. First, for the color cast problem of underwater images, the channel attention mechanism is incorporated in our model, which can well alleviate the color cast of underwater images. Second, as for the darkness of underwater images, the similarity between the target underwater image after dehazing and color correcting, and the image output by our model is used as the loss function, so as to increase the brightness of the underwater image. Finally, we employ the SOS boosting module to eliminate the haze effect of underwater images. Moreover, experiments were carried out to evaluate the performance of our model. The qualitative analysis results show that our method can be applied to effectively recover the underwater images, which outperformed most methods for comparison according to various criteria in the quantitative analysis.

단상태 소나를 이용한 소형 수중표적 물성추정 (Estimation of the property of small underwater target using the mono-static sonar)

  • 배호석;김완진;이다운;정우근
    • 한국음향학회지
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    • 제36권5호
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    • pp.293-299
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    • 2017
  • 수중에서 기동하는 소형무인 플랫폼은 미래의 핵심적인 해군전력이지만, 이와 동시에 아군세력을 위협하는 비대칭 세력이기도 하다. 이러한 소형무인 플랫폼을 탐지, 식별하기 위한 하나의 방법으로 반복적 수치해석 기법에 기반한 물성추정 기법을 소개한다. 물성추정 기법은 표적의 위치정보뿐만 아니라 표적의 물리적인 물성치를 추정할 수 있기 때문에 정지한 표적을 탐지 및 식별할 수 있으며, 다수의 수중표적도 동시에 탐지 가능하며, 표적과 주변 자연물체와의 구분이 가능한 장점을 가진다. 본 연구에서는 기존에 제안한 기법을 보다 확장하여, 실제 호수시험 획득자료를 이용하여 실제 수중 소형표적을 대상으로 물성추정을 수행하였다. 그 결과 단 한 개의 채널신호만으로도 소형플랫폼에 대한 물성추정이 가능하였으며, 현장자료에도 강인한 결과를 획득할 수 있었다.