Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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An Efficient Search Strategy of Anti-Submarine Helicopter based on Multi-Static Operation in Furthest-On-Circles

확장형 탐색구역에서 Multi-Static 운용 기반 대잠헬기의 탐색에 관한 연구

  • Kim, Changhyun (Department of Defense Science, National Defense University) ;
  • Oh, Rahgeun (Department of Marine Sciences and Convergent Technology, Hanyang University) ;
  • Kim, Sunhyo (Department of Marine Sciences and Convergent Technology, Hanyang University) ;
  • Choi, Jeewoong (Department of Marine Sciences and Convergent Technology, Hanyang University) ;
  • Ma, Jungmok (Department of Defense Science, National Defense University)
  • 김창현 (국방대학교 국방과학학과) ;
  • 오래근 (한양대학교 해양융합공학과) ;
  • 김선효 (한양대학교 해양융합공학과) ;
  • 최지웅 (한양대학교 해양융합공학과) ;
  • 마정목 (국방대학교 국방과학학과)
  • Received : 2018.06.28
  • Accepted : 2018.10.19
  • Published : 2018.12.05
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Abstract

The anti-submarine helicopter is the most effective weapon system in anti-submarine warfare. Recently changes in the introduction of the anti-submarine warfare sonar system are expected to operate multi-static sonar equipment of the anti-submarine helicopter. Therefore, it is required to study the operational concept of multi-static of anti-submarine helicopter. This paper studies on the optimal search of multi-static based on anti-submarine helicopter considering Furthest On Circles(FOC). First, the deployment of the sensors of the anti-submarine helicopter is optimized using genetic algorithms. Then, the optimized model is extended to consider FOC. Finally, the proposed model is verified by comparing pattern-deployment the search method in Korean Navy.

Keywords

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Fig. 1. Overall process of implementing performance suface, (a) Environmental & system parameter, (b) Acoustic system model, (c) Performance surface

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Fig. 3. Genetic algorithm structure

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Fig. 4. Performance surface of mission area, (a) active sensor, (b) passive sensor

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Fig. 5. Optimal deployment GA, (a)~(c) active1 passive1~3, (d)~(f) active2 passive1~3

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Fig. 6. Simulation result of optimal search GA, (a) 50 min FOC, (b) 70 min FOC, (c) 90 min FOC

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Fig. 7. Simulation result of pattern deployment, (a) 50 min FOC, (b) 70 min FOC, (c) 90 min FOC

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Fig. 8. Simulation result of underwater targets detection

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Fig. 2. (a) Mono-static sensor with a co-located source and receiver, (b) Multi-static system with one source and three independent receivers

Table 1. Genetic organization

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Table 2. Sonar system parameters

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Table 3. Genetic parameters

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Table 4. Anti-submarine situation parameters

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Table 5. Underwater target parameters

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Table 6. T-test result

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