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

  • 제28권5호
  • /
  • Pages.513-524
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  • 2025
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  • 1598-9127(pISSN)
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  • 2636-0640(eISSN)
한국군사과학기술학회 (The Korea Institute of Military Science and Technology)
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베이지안 탐색이론 기반 지대공 위협 정보 융합 방법

Method of Surface-to-Air Threat Information Fusion Using Bayesian Search Theory

  • 윤현필 (국방대학교 무기체계학과) ;
  • 이두열 (부산대학교 기계공학부)
  • Hyunpil Yoon (Department of Weapon Systems, Korea National Defense University) ;
  • Dooyoul Lee (School of Mechanical Engineering, Pusan National University)
  • 투고 : 2025.04.07
  • 심사 : 2025.07.21
  • 발행 : 2025.10.05
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초록

This study presents a method to evaluate and fuse detection information for surface-to-air missile (SAM) threats based on Bayesian search theory and radar equations. Detection probabilities are computed using radar parameters, and spatial distributions are visualized through MATLAB simulations based on two radar warning receiver models. Results indicate that detection outcomes vary depending on threat type and receiver location. Mid-range SAMs show stable detection patterns, while long-range SAM presents low detection probability, limiting its geolocation accuracy. Bayesian updating is applied to integrate multi-source detection results, resulting in improved posterior localization for specific categories of surface-to-air missile systems distinguished by range and detection characteristics. This approach provides a quantitative framework for integrating surface-to-air threat information in operational environments and contributes to the development of future electronic warfare and air defense strategies.

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과제정보

본 연구는 부산대학교 기본 연구 지원 사업(2년)에 의한 연구 결과입니다. 지원에 감사드립니다.

참고문헌

  1. International Institute for Strategic Studies, The Military Balance 2023, Routledge, London, 2023.
  2. U.S. Department of Defense, Iranian Shootdown of U.S. Navy RQ-4: DOD Assessment, Washington D.C., 2019.
  3. Myunghoon Park, Woojoong Jeon, Hyunseung Kim, Sewoong Kwon, "Research on Variation of Detection Performance according to Altitude of Radar by Using Modeling and Simulation Method," The Journal of Korean Institute of Electromagnetic Engineering and Science, pp. 964-971, 2019. https://doi.org/10.5515/KJKIEES.2019.30.12.964
  4. Hyunseung Kim, Woojoong Jeon, Myunghoon Park, Sewoong Kwon, Hyunwook Moon, "Radar Performance Analysis Based on Target Maneuvering Using Radar Cross Section Simulation Data," The Journal of Korean Institute of Electromagnetic Engineering and Science, pp. 455-464, 2021. https://doi.org/10.5515/KJKIEES.2021.32.5.455
  5. BAE Systems, Eagle Passive Active Warning Survivability System(EPAWSS), BAE Systems Official Product Brochure, 2021.
  6. H. L. Kennedy, "Fusion of possibly biased location estimates using Gaussian mixture models," Information Fusion, Vol. 13, No. 3, pp. 214-222, 2012. https://doi.org/10.1016/j.inffus.2011.02.002
  7. L. D. Stone, "Theory of Optimal Search," Academic Press, New York, NY, USA, 1975.
  8. K. C. Chang, Chee-Yee Chong, S. Mori, "Analytical and computational evaluation of scalable distributed fusion algorithms," IEEE Transactions on Aerospace and Electronic Systems, Vol. 46, No. 4, pp. 2022- 2034, 2010. https://doi.org/10.1109/TAES.2010.5595611
  9. S. J. Julier, J. K. Uhlmann, "A non-divergent estimation algorithm in the presence of unknown correlations," Proceedings of the American Control Conference, Vol. 4, pp. 2369-2373, 1997.
  10. Gyu-Dong Park, Young-Tae Byun, "Improving the Distributed Data Fusion Ability of the JDL Data Fusion Model," Journal of the Korea Institute of Military Science and Technology, Vol. 15, No. 2. pp. 147-154, 2014. https://doi.org/10.9766/KIMST.2012.15.2.147
  11. An Steinberg, Fe White, Cl Bowman, "Revisions to the JDL Data Fusion Model," Dtic.mil, 1999.
  12. G. A. Hufford, A. G. Longley, and W. A. Kissick, A Guide to the Use of the ITS Irregular Terrain Model in the Area Prediction Mode, NTIA Report 82-100, U.S. Dept. of Commerce, 1982.
  13. A. F. Molisch, Wireless Communications, 2nd ed., Wiley-IEEE Press, 2012.
  14. R. W. Johnson et al., "Radar Electronic Warfare and Defense Systems," IEEE Transactions on Aerospace and Electronic Systems, Vol. 56, No. 4, pp. 120-126, 2021.
  15. L. A. McFarland and J. H. Kim, "Countering Advanced Surface-to-Air Missile Systems: Tactical and Technical Considerations," Defense Analysis Review, Vol. 39, No. 3, pp. 125-133, 2022.
  16. Joint Air Power Competence Centre(JAPCC), "Future Airborne Electronic Attack: Considerations for NATO," 2022.
  17. T. M. Mitchell, "Optimizing Sensor Deployment for Air Defense Networks," Journal of Military Electronics, Vol. 34, No. 2, pp. 63-67, 2020.
  18. Operational Test & Evaluation Report, U.S. Department of Defense, 2023.