• Title/Summary/Keyword: 음향조사역

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Absolute Sonar Position on Side Scan Sonar Data Processing (Side Scan Sonar 자료처리에서 수중예인체의 절대위치)

  • Lee, Yong-Kuk;Park, Gun-Tae;Suk, Bong-Chool;Jung, Baek-Hun;Kim, Seong-Ryul
    • Journal of the Korean earth science society
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    • v.24 no.5
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    • pp.467-476
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    • 2003
  • For the seafloor acoustic image mapping of side scan sonar, the beginning step of the procedure is to fix the absolute sonar (tow-fish) position since the sonar is not hull mounted but towed astern. The technical algorithm used to calculate the actual sonar position without any other additional sub-system, i.e., the underwater acoustic position tracking system or the sonar attitude measuring device, was proposed. In the seafloor image mosaic mapping results using the sonar track (not ship track) developed in this study, any ambiguity or inconsistency of seafloor features was not found. The incidental effect from the sonar position determination procedure orients the towing direction of sonar to be smooth, consequently the swath pattern on the across-track direction becomes stable and the blanking phenomenon of the insonification area is reduced conspicuously. This technical method is considered to be an useful tool when applied toother underwater towing vehicle surveys.

Analysis of the Effectiveness of Autonomous Unmanned Underwater Vehicle Mine Search Operation by Side Scan Sonar Characteristics (측면주사소나 특성에 따른 자율무인잠수정 기뢰탐색 효과도 분석)

  • Yoo, Tae-Suk;Park, Seok-Joon;Yoon, Seon-Il;Park, Ho-Gyu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.8
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    • pp.1077-1085
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    • 2020
  • In order to Mine Countermeasure (MCM), the search is carried out for the expected mine zone. At this time, mine hunting uses Autonomous Unmanned Vehicle(AUV), taking into account the danger of mine and the stability of our forces. Sonar system for identifying buried mines are equipped with Side Scan Sonar(SSS) or Synthetic Aperture Sonar(SAS). This paper describes the analysis of mine hunting effects according to the commercial SSS characteristics. Based on the characteristics of each SSS, the insonified area and recognition probability were modeled, and the analysis was performed according to the search pattern of the AUV. AUV's search pattern defines three patterns depending on the presence or absence of SSS or shaded areas. The analysis results derived search time and detection probability for each search pattern, and finally, the improvement of search depending on the presence or absence of side injection or shaded area.