Fig. 1. Overall process of implementing performance suface, (a) Environmental & system parameter, (b) Acoustic system model, (c) Performance surface
Fig. 3. Genetic algorithm structure
Fig. 4. Performance surface of mission area, (a) active sensor, (b) passive sensor
Fig. 5. Optimal deployment GA, (a)~(c) active1 passive1~3, (d)~(f) active2 passive1~3
Fig. 6. Simulation result of optimal search GA, (a) 50 min FOC, (b) 70 min FOC, (c) 90 min FOC
Fig. 7. Simulation result of pattern deployment, (a) 50 min FOC, (b) 70 min FOC, (c) 90 min FOC
Fig. 8. Simulation result of underwater targets detection
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
Table 2. Sonar system parameters
Table 3. Genetic parameters
Table 4. Anti-submarine situation parameters
Table 5. Underwater target parameters
Table 6. T-test result
References
- A. Washburn and M. Karatas, “Multistatic Search Theory,” Military Operations Research, Vol. 20, No. 1, pp. 21-38, 2015.
- M. P. Fewell and S. Ozols, "Simple Detection- Performance Analysis of Multistatic Sonar for Anti- Submarine Warfare," Australian Government Department of Defence(DSTO-TR-2562), 2011.
- P. Mcdowell, "Environmental and Statistical Performance Mapping Model for Underwater Acoustic Detection Systems," University of New Orleans Theses and Dissertations, 2010.
- S. H. Kim, et. al., “Optimal Deployment of Sensor Nodes based on Performance Surface of Acoustic Detection,” Journal of the Korea Institute of Military Science and Technology, Vol. 18, No. 5, pp. 538- 547, 2015. https://doi.org/10.9766/KIMST.2015.18.5.538
- M. K. Cheon, et. al., “Optimal Search Pattern of Ships based on Performance Surface,” Journal of the Korea Institute of Military Science and Technology, Vol. 20, No. 3, pp. 328-336, 2017. https://doi.org/10.9766/KIMST.2017.20.3.328
- M. Mitchell, "An Introduction to Genetic Algorithm," MIT Press, 1998.
- D. T. Pham and G. Jin, "Genetic Algorithm using Gradient-Like Reproduction Operator," Electron. Lett. 31st, pp. 1558-1559, 1995.
- G. H. Hwang and W. T. Jang, "Advances in Evolutionary Algorithms," I-Tech Education and Publishing, Vienna, p. 95, 2008.
- T. P. Hong and H. S. Wang, "A Dynamic Mutation Genetic Algorithm," in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Vol. 3, pp. 2000-2005, 1996.
- C. Amante and B. W. Eakins, "ETOPO1 Arc-Minute Global Relief Model : Procedures, Data Source and Analysis," NOAA Technical Memorandum, NGDC (National Geophysical Data Center), 2009.
- M. R. Carnes, "Description and Evaluation of GDEM-V 3.0," Naval Research Laboratory, 2009.
- Korea Institute of Geology, Mining and Materials Rep. NP 2007-010, 2007.
- B. P. Michael, “Gaussian Beam Tracing for Computing Ocean Acoustic Fields,” Journal of the Acoustical Society of America, Vol. 82, No. 4, pp. 1349-1359, 1987. https://doi.org/10.1121/1.395269