• 제목/요약/키워드: distance to CPA

검색결과 23건 처리시간 0.02초

수중에서 고속 기동하는 표적의 방위 탐지를 위한 최적의 청음기 배치 연구 (A Study on Optimal Hydrophone Arrangement for The Direction Finding of High Speed Moving Target in Underwater)

  • 한민수;최재용;강동석;손권;이필호
    • 한국군사과학기술학회지
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    • 제20권3호
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    • pp.369-375
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    • 2017
  • One of good DF(Direction Finding) methods is based on TDOA(Time Difference of Arrival) estimation when finding underwater moving target. For small DF error, high time resolution A/D(Analog-to-digital) conversion board and long baseline are needed. But the result of sea trial about close-range and high speed moving target, spatial correlation coefficient and appeared poor properties below 0.3 when hydrophone arrangement are separated over 6 ${\lambda}$ because of underwater fading channel. And we also find out that the distance between hydrophone should be under 4 ${\lambda}$ apart to take advantage of spatial correlation coefficient gain and performance of DF in underwater moving channel environments.

국제해상충돌예방규칙에 따른 충돌회피 알고리즘에 관한 연구 (A Study on Ship Collision Avoidance Algorithm by COLREG)

  • 김동균;정중식;박계각
    • 한국지능시스템학회논문지
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    • 제21권3호
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    • pp.290-295
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    • 2011
  • 최근접점과 최근접시간에 기초를 둔 종래 선박충돌회피 알고리즘은 국제해상충돌예방규칙(COLREG, International Regulations for Preventing Collisions at Sea, 1972)에 의한 선박간의 항법규정을 고려하지 않는다는 문제점이 있다. 본 논문에서 제안하는 알고리즘은 조우선박의 상대방위를 측정함으로써 자선이 피항선인가 유지선이 될 것인가를 판단한다. 피항시점을 결정하기 위하여 타원형의 선박안전영역 모델을 이용하여 타선과 위험한 위치에 도달하는 지점과 시간을 계산함으로써 피항을 수행한다. 두 선박의 위치, 속도 및 방위를 임의로 생성하여 타원모델에 의한 충돌회피 과정을 시뮬레이션 한다. 또한 실제적인 해양사고 발생 자료를 이용하여 충돌위험 분석 및 선박간 충돌회피를 위한 방안을 제시한다. 제안한 알고리즘은 안개 및 기상악화의 경우 시계가 제한되거나 야간항해 중 항해등의 식별이 어려워 피항선과 유지선의 판단이 불확실한 경우에도 국제해상충돌예방규칙에 의한 충돌회피 동작에 효과적으로 적용할 수 있다.

부산항에서 ARPA 레이더와 AIS에 의한 통한선박의 실시간 위치추적 (Real-time position tracking of traffic ships by ARPA radar and AIS in Busan Harbor, Korea)

  • 이대재
    • 수산해양기술연구
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    • 제44권3호
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    • pp.229-238
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    • 2008
  • This paper describes on the consolidation of AIS and ARPA radar positions by comparing the AIS and ARPA radar information for the tracked ship targets using a PC-based ECDIS in Busan harbor, Korea. The information of AIS and ARPA radar target was acquired independently, and the tracking parameters such as ship's position, COG, SOG, gyro heading, rate of turn, CPA, TCPA, ship s name and MMSI etc. were displayed automatically on the chart of a PC-based ECDIS with radar overlay and ARPA tracking. The ARPA tracking information obtained from the observed radar images of the target ship was compared with the AIS information received from the same vessel to investigate the difference in the position and movement behavior between AIS and ARPA tracked target ships. For the ARPA radar and AIS targets to be consolidated, the differences in range, speed, course, bearing and distance between their targets were estimated to obtain a clear standards for the consolidation of ARPA radar and AIS targets. The average differences between their ranges, their speeds and their courses were 2.06% of the average range, -0.11 knots with the averaged SOG of 11.62 knots, and $0.02^{\circ}$ with the averaged COG of $37.2^{\circ}$, respectively. The average differences between their bearings and between their positions were $-1.29^{\circ}$ and 68.8m, respectively. From these results, we concluded that if the ROT, COG, SOG, and HDG informations are correct, the AIS system can be improved the prediction of a target ship's path and the OOW(Officer of Watch) s ability to anticipate a traffic situation more accurately.