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

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Measure of Effectiveness Analysis of Passive SONAR System for Detection

수동소나시스템에서 탐지효과도 분석

  • 조정홍 (한국해양대학교 해양공학과) ;
  • 김재수 (한국해양대학교 해양공학과)
  • Received : 2012.03.13
  • Accepted : 2012.05.25
  • Published : 2012.06.05
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Abstract

The optimal use of sonar systems for detection is a practical problem in a given ocean environment. In order to quantify the mission achievability in general, measure of effectiveness(MOE) is defined for specific missions. In this paper, using the specific MOE for detection, which is represented as cumulative detection probability(CDP), an integrated software package named as Optimal Acoustic Search Path Planning(OASPP) is developed. For a given ocean environment and sonar systems, the discrete observations for detection probability(PD) are used to calculate CDP incorporating sonar and environmental parameters. Also, counter-detection probability is considered for vulnerability analysis for a given scenario. Through modeling and simulation for a simple case for which an intuitive solution is known, the developed code is verified.

Keywords

References

  1. M. W. Zynwalt, A. J. Korsakm, and R. S. Ratner, Appendix A Standard Antisubmarine Warfare Measures of Effectiveness and Measures of Performance, PEO (MUW) INST 3370.1, 2000.
  2. D. R. DelBalzo, K. P. Hemsteter, and D. P. Kierstead, "Improving ASW with GRASP Multi-Sensor Search Optimization", in Proceedings of the 6th Conference Undersea Defense Technology Conference, 2001. 10.
  3. D. R. DelBalzo, K. P. Hemsteter, M. D. Wagstaff, E. R. Rike, and J. H. Leclere, "Environmental Effects on MCM Tactics Planning", MTS/IEEE Conference on Ocean, Vol. 3, pp. 1394-1399. 2002.
  4. D. R. DelBalzo and K. P. Hemsteter, "GRASP Multi-sensor Search Tactics against Evading Targets", Proceedings of the 2002 MTS/IEEE Conference on Oceans, pp. 29-31, 2002.
  5. K. P. Hemsteter and D. R. DelBalzo, "Acoustic Benchmark Validation of GRASP ASW Search Plans", MTS/IEEE Conference on Ocean, Vol. 1, pp. 60-64, 2002.
  6. D. P. Kierstead and D. R. DelBalzo, "A Genetic Algorithm Applied to Planning Search Paths in Complicated Environments", Military Operations Research, Vol. 8, No. 2, pp. 45-59, 2003. https://doi.org/10.5711/morj.8.2.45
  7. Jung-Hong Cho, Jea Soo Kim, Jun-Seok Lim, Seongil Kim, and Young-Sun Kim, "Optimal Acoustic Search Path Planning Based on Genetic Algorithm in Continuous Path System", OCEANS'2006 IEEE Asia Pacific-Singapore. pp. 116-117, May 2006.
  8. Jung Hong Cho, Jea Soo Kim, Jun-Seok Lim, Seongil Kim, and Young-Sun Kim, "Optimal Acoustic Search Path Planning for a Moving Target in Continuous Path", The 9th Western Pacific Acoustics Conference, June 26-28, 2006.
  9. Jung Hong Cho, Jea Soo Kim, Jun-Seok Lim, Seongil Kim, and Young-Sun Kim, "Optimal Acoustic Search Path Planning for Sonar System Based on Genetic Algorithm", International Journal of Offshore and Polar Engineering, Vol. 17, No. 3, pp. 218-224, September 2007.
  10. Jung Hong Cho, Jea Soo Kim, Jun-Seok Lim, Seongil Kim, and Young-Sun Kim, "Optimal Acoustic Search Path Planning in Realistic Environments Based on Genetic Algorithm", Proceedings of OCEANS'08 MTS/IEEE KOBE-TECHNO-OCEAN'08(OTO'08) Conference, Kobe, Japan, April 8-11, 2008.
  11. Jung Hong Cho, Jea Soo Kim, and Seongil Kim, "Benchmarking of Optimal Acoustic Search Path Planning", Proceedings of the Nineteenth(2009) International Offshore and Polar Engineering Conference, pp. 620-626, Osaka, Japan, June 21-26, 2009.
  12. Jung-Hong Cho, Mi-Ru Shin, Se-Hyun Oh, J. S. Kim, and Seongil Kim, "Optimal Search Path Planning for Single and Multi Sonar System", Proceedings of the 10th European Conference on Underwater Acoustics, Vol. 3, pp. 1202-1208, Istanbul, Turkey, July 5-9, 2010.
  13. 조정홍, "수중음향 모델링에 기반한 소나체계의 성능분석", 한국해양대학교 공학박사 학위논문, 2011. 8.
  14. R. Rattiti and A. Passerini, "Brain-Computer Evolutionary Multiobjective Optimization : A Genetic Algorithm Adapting to the Decision Maker", Evolutionary Computation, IEEE Transactions on, Vol. 14, No. 5, pp. 671-687, 2010. https://doi.org/10.1109/TEVC.2010.2058118
  15. A. Lara, G. Sanchez, C. A. Coello Coello, and O. Schutze, "HCS : A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithm", Evolutionary Computation, IEEE Transactions on, Vol. 14, No. 1, pp. 112-132, 2010. https://doi.org/10.1109/TEVC.2009.2024143
  16. D. H. Wagner, W. C. Mylander, and T. J. Senders, Naval Operations Analysis, Naval Institute Press. 3rd Ed., 1999.
  17. C. M. Ferla and M. B. Porter, "Receiver Depth Selection for Passive Sonar Systems", IEEE Journal of Oceanic Engineering, Vol. 16, No. 3, pp. 261-278, 1991.
  18. R. J. Urick, Principles of Underwater Sound, 3rd Edition, McGraw-Hill Book Company, 1983.
  19. C. A. Balanis, "Uniform Circular and Rectangular Arrays for Adaptive Beamforming Applications", IEEE Antennas and Wireless Propagation, Vol. 4, pp. 351-354, 2005. https://doi.org/10.1109/LAWP.2005.857039
  20. Ross L. Dawe, "Detection Threshold Modeling Explained", Defence Science and Technology Organisation(DSTO), Australia, 1997.
  21. J. S. Kim, Underwater Acoustics and Sonar Engineering, Korea Maritime Univ., Lecture Note, 2005.

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