Journal of the Korea Society for Simulation (한국시뮬레이션학회논문지)

The Korea Society for Simulation (한국시뮬레이션학회)
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A Study on an Arrangement of Passive Sonars by using DPSO Algorithm

DPSO 알고리즘을 적용한 수동탐지소나 배치 연구

  • Received : 2016.11.30
  • Accepted : 2017.03.07
  • Published : 2017.03.31
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Abstract

An arrangement of passive sonars is considered to be a fixed underwater surveillance system for detecting an anti-submarine consistently. An effectiveness score for optimizing the arrangement of passive sonars is defined in a function of the probability of detection and localization. These two features contain various probabilistic variations including seasons, sea states, depths of water, etc. Due to this reason, the effectiveness scores show probabilistic characteristics from the input of the arrangement of passive sonars. This paper defines the optimization problem having the results of probabilistic characteristics from various parameters of input conditions. Also, we suggest a simulation-based process of deciding the optimized arrangement of passive sonars using DPSO(Discrete binary version of PSO) method.

은밀하게 침투하여 아군의 핵심자산으로 접근하는 표적 잠수함을 상시 감시하기 위하여 수중 해저면 위치에 최적의 고정형 수동탐지소나를 배치하는 것을 고려 할 수 있다. 수동탐지소나 배치 최적화를 위한 효과도 지수는 넓은 탐지영역과 위치추정가능성의 함수로 적용할 수 있는데 계절적인 요인, 해상상태, 표적 잠수함의 침투심도 등의 다양한 확률적 변이를 포함하고 있어서 효과도지수가 배치의 입력에 대하여 확률적으로 나타나는 특성을 갖는다. 본 논문에서는 다양한 파라메타의 입력조건에 대하여 확률적인 출력을 갖는 수동탐지소나의 배치에 대한 최적화 문제를 정의하였으며, DPSO(Discrete binary version of PSO) 방법을 사용하여 최적 배치 안을 도출하기 위한 모의기반의 절차를 제시하고 고찰하였다.

Keywords

References

  1. Xu, J., Huang, E., Chen, C.H., and Lee, L.H., "Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data", Asia-Pacific Journal of Operational Research, Vol. 32, No. 3. 2015.
  2. Kim, S.B., Kim, J.H., and Lee, D.H., "A Study of Modified PSO for the Optimization of Stochastic Simulations", Journal of the Korea Society for Simulation, Vol. 22, No. 4, pp. 21-28, 2013.12. https://doi.org/10.9709/JKSS.2013.22.4.021
  3. Yim, D.S., "Particle Swarm Optimizations to Solve Multi-valued Discrete Problems", Society of Korea Industrial and Systems Engineering, Vol. 36, No. 3, pp. 63-70, 2013.9.
  4. Lee, S.E., Chun, S.Y., Hwang, S.B., and Lee, S.W., "Implementation of the Omnidirectional Target Bearing Detector Utilizing Towed Linear Arrays", Journal of the Korea Institute of Military Science and Technology, Vol. 5, No. 1, pp. 59-64, 2002.5.
  5. Urick, Robert J., Principles of Underwater Sound, 3rd Edition, McGraw-Hill, 1983.
  6. Waite, Ashley D., Sonar for Practising Engineers, 3rd Edition, John Wiley & Sons, 2002.
  7. Na, Y.N., and Kim, Y.G., "Development of Ocean Synthetic Environment Simulator for Underwater Engagement Simulation", The Conference of The Acoustical Society of Korea, pp. 22-25, 2007.
  8. Ainslie, Michael A, Principles of Sonar Performance Modelling, Springer, 2010.
  9. J. Kennedy and R. Eberhart, "Particle Swarm Optimization", IEEE International Conference, pp. 1404-4108, 1995.
  10. J. Kennedy and R. Eberhart, "A Discrete Binary Version of the Particle Swarm Algorithm", IEEE International Conference, pp. 1942-1948, 1997.
  11. Hwang, K.C., Lee, M.K., Han S.J., Yoon J.M., You Y.J., Kim, S.B., Nah, Y.I., Kim J.H. and Lee, D.H., "The DEVS Integrated Development Environment for Simulation-based Battle experimentation", Journal of the Korea Society for Simulation, Vol. 22, No. 4, pp. 39-47, 2013.12. https://doi.org/10.9709/JKSS.2013.22.4.039
  12. Lee, Y.H., Cho, K.T., Lee, S.Y., Hwang, K.C. and Kim S.H. "Framework and Tools for Rapid M&S Component Development and Reusability", Journal of the Korea Society for Simulation, Vol. 22, No. 4, pp. 29-38, 2013.12. https://doi.org/10.9709/JKSS.2013.22.4.029
  13. J. Kennedy, "The behavior of particles", Evolutionary Programming VII, Lecture Notes in Computer Science, Vol. 1447, pp. 579-589, 1998.