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http://dx.doi.org/10.9709/JKSS.2017.26.1.039

A Study on an Arrangement of Passive Sonars by using DPSO Algorithm  

Kang, Jong-Gu (Agency for Defense Development)
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.
Keywords
Arrangement of passive sonar; Probabilistic variation; Optimization problem; Simulation-based; DPSO (Discrete binary version of PSO);
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Times Cited By KSCI : 5  (Citation Analysis)
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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.   DOI
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.   DOI
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.   DOI
13 J. Kennedy, "The behavior of particles", Evolutionary Programming VII, Lecture Notes in Computer Science, Vol. 1447, pp. 579-589, 1998.