• Title/Summary/Keyword: 수중 위치추적 방식

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Development of Slowly moving Short Baseline Underwater Acoustic Positioning System for Estimating the Position of Unmanned Underwater Vehicle (무인잠수정의 위치추정을 위한 동적단기선 방식의 수중초음파 위치추적시스템 개발)

  • Kim, Joon-Young;Byun, Seung-Woo
    • Proceedings of the KAIS Fall Conference
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    • 2009.05a
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    • pp.240-243
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    • 2009
  • 본 논문에서는 수중에서 이동하는 무인잠수정 및 수중이동체의 위치를 측정하는 방법 중의 하나인 동적 단기선 방식(SBL)에 의한 무인잠수정의 위치측정에 대한 방법을 하이드로폰과 DAQ(Data Aquisition) 시스템을 이용하여 수조에서 테스트를 수행하였고, 실 해역에서의 실험을 실시하였다. 실험을 위해서 4개의 센서가 수조의 벽면에 고정이 되어 있으며, 이동체와 고정된 4개의 센서가 신호를 송수신함으로써 상호간의 위치추적이 가능하게 하는 시뮬레이션을 실시하였으며, 제안하는 SBL시스템과 장기선 방식(Long baseline)을 비교하기위한 시뮬레이션을 실시하여 두 시스템을 비교하였다. 측정된 신호는 DAQ 시스템을 이용하여 데이터를 취득하였고, Labview 프로그램을 이용하여 실시간으로 무인잠수정의 위치를 추정하였다. 위치추정에 사용된 알고리즘은 삼각측량법에 의한 방법을 사용하였으며, X, Y방향에 대해서는 비교적 오차가 적은 추정 결과를 나타내었으나 Z방향에 대하여서는 큰 오차를 보여 데이터로 사용할 수 가 없었다. 이는 수중이동체의 수심측정 센서를 이용하여 보완할 수 있을 것으로 본다. 향후 연구로는 위치추정 알고리즘을 보완하여 실제 선박 선저부에 센서가 부착되었을 경우에 대한 적용연구를 진행할 예정이며, 위치추정 알고리즘을 발전시켜 3차원에서의 정확한 위치 추적을 가능하게 할 예정이다.

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Ranging Algorithm of Underwater Acoustic Wave with Look-up Table (Look-up table을 이용한 수중 음향파 거리 추정 알고리즘)

  • Cheon, Ju-Hyun;Moon, Seung-Hyun;Lee, Ho-Kyoung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.4
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    • pp.23-29
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    • 2015
  • In this paper, we introduce a underwater ranging algorithm with Look-up Table (LUT) by modifying the existing method which is using the changes of angles of accoustic rays with SSP (Sound Speed Profile). We compare the horizontal distance errors and the calculation times. Our new algorithm exploits Time of Arriva l(ToA) - horizontal distance table based on SSP. This algorithm offers faster calculation speed than the previous one with the slight increase of the distance estimation error.

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.

Development of Acoustic Positioning System for ROV using SBL System (SBL방식을 이용한 무인잠수정의 수중초음파 위치측정시스템 개발)

  • Yu, Son-Cheol;Byun, Seung-Woo;Kim, Joon-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.3
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    • pp.808-814
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    • 2010
  • In this paper we executed a SBL(Short Baseline) underwater acoustic positioning system that is a kind of underwater position estimation system to estimates the 3-dimensional position of ROV(Remotely Operated Vehicle) using hydrophones and DAQ(Data Acquisition) system in the basin which dimensions are $3{\times}3{\times}1.7(m)$. For this experiment, we let 4 hydrophones in different positions of the basin for receiver and 1 hydrophone is fixed on the underwater vehicle for transmitting sensor(pinger). These five hydrophones are communicated with each other to find the 3-D positions of the moving ROV in the basin. The measured signals are collected by DAQ system and the positions of the ROV are plotted by LabView program in real-time. To estimate the position of the ROV we used a trigonometric method. In X and Y plane the estimated data has a small errors but in Z plane the estimated data has large errors so we cannot use this data for position control. One solution of this problem is using depth sensor that implemented of the underwater vehicle. Hereafter, we will test in the ocean using designed SBL system.

Review on Underwater Positioning for Deep Towing Vehicles (심해 예인 탐사장비의 위치 보정에 대한 고찰)

  • Lee, Gun-Chang;Ko, Young-Tak;Yoo, Chan-Min;Chi, Sang-Bum;Kim, Jong-Uk;Ham, Dong-Jin
    • Ocean and Polar Research
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    • v.27 no.3
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    • pp.335-339
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    • 2005
  • The underwater positioning system is important in interpreting data that are acquired from towing vehicles such as the deep-sea camera (DSC) system. Currently, several acoustic positioning systems such as long baseline (LBL), short baseline (SBL), and ultra short baseline (USBL), are used for underwater positioning. The accurate position of DSC, however, could not be determined in a R/V Onnuri unequipped with any of these underwater positioning systems. As an alternative, the DSC position was estimated based on the topography of towing track and cable length in the cruises before 1999. The great uncertainties, however, were found in the areas of flat bottom topography. In the 2003 and 2004 cruises these uncertainties were reduced by calculating the position of DSC with the cable length and seafloor depth below the vessel. The Japanese cruises for Mn-nodule used a similar estimation method for the DSC positioning system with a CTD sensor. Although the latter can provide better information for the position of DSC, the USBL underwater positioning system is strongly recommended for establishing better positioning of DSC and other towing devices.