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

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Estimation of Jamming Parameters based on Gaussian Kernel Function Networks

가우스 요소함수 망에 기초한 재밍 파라미터 추정

  • Hwang, TaeHyun (Department of Mathematics, SungKyunKwan University) ;
  • Kil, Rhee Man (College of Computing, SungKyunKwan University) ;
  • Lee, Hyun Ku (EW(Electronic Warfare) R&D Lab, LIG Nex1 Co. Ltd.) ;
  • Kim, Jung Ho (EW(Electronic Warfare) R&D Lab, LIG Nex1 Co. Ltd.) ;
  • Ko, Jae Heon (EW(Electronic Warfare) R&D Lab, LIG Nex1 Co. Ltd.) ;
  • Jo, Jeil (The 2nd Research and Development Institute, Agency for Defense Development) ;
  • Lee, Junghoon (The 2nd Research and Development Institute, Agency for Defense Development)
  • 황태현 (성균관대학교 수학과) ;
  • 길이만 (성균관대학교 소프트웨어대학) ;
  • 이현구 (LIG넥스원(주) 전자전연구소) ;
  • 김정호 (LIG넥스원(주) 전자전연구소) ;
  • 고재헌 (LIG넥스원(주) 전자전연구소) ;
  • 조제일 (국방과학연구소 제2기술연구본부) ;
  • 이정훈 (국방과학연구소 제2기술연구본부)
  • Received : 2019.08.30
  • Accepted : 2020.01.17
  • Published : 2020.02.05
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Abstract

Effective jamming in electronic warfare depends on proper jamming technique selection and jamming parameter estimation. For this purpose, this paper proposes a new method of estimating jamming parameters using Gaussian kernel function networks. In the proposed approach, a new method of determining the optimal structure and parameters of Gaussian kernel function networks is proposed. As a result, the proposed approach estimates the jamming parameters in a reliable manner and outperforms other methods such as the DNN(Deep Neural Network) and SVM(Support Vector Machine) estimation models.

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References

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