• Title/Summary/Keyword: 수영자 탐지 소나

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Performance analysis of automatic target tracking algorithms based on analysis of sea trial data in diver detection sonar (수영자 탐지 소나에서의 해상실험 데이터 분석 기반 자동 표적 추적 알고리즘 성능 분석)

  • Lee, Hae-Ho;Kwon, Sung-Chur;Oh, Won-Tcheon;Shin, Kee-Cheol
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.4
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    • pp.415-426
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    • 2019
  • In this paper, we discussed automatic target tracking algorithms for diver detection sonar that observes penetration forces of coastal military installations and major infrastructures. First of all, we analyzed sea trial data in diver detection sonar and composed automatic target tracking algorithms based on track existence probability as track quality measure in clutter environment. In particular, these are presented track management algorithms which include track initiation, confirmation, termination, merging and target tracking algorithms which include single target tracking IPDAF (Integrated Probabilistic Data Association Filter) and multitarget tracking LMIPDAF (Linear Multi-target Integrated Probabilistic Data Association Filter). And we analyzed performances of automatic target tracking algorithms using sea trial data and monte carlo simulation data.