한국전자파학회논문지 (The Journal of Korean Institute of Electromagnetic Engineering and Science)

  • 제23권1호
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  • Pages.108-114
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  • 2012
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  • 1226-3133(pISSN)
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  • 2288-226X(eISSN)
한국전자파학회 (The Korean Institute of Electromagnetic Engineering and Science)
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정확하고 효율적인 인체 FDTD 분산 모델링

Dispersive FDTD Modeling of Human Body with High Accuracy and Efficiency

  • 하상규 (한양대학교 전자컴퓨터통신공학과) ;
  • 조제훈 (한양대학교 전자컴퓨터통신공학과) ;
  • 김형동 (한양대학교 전자컴퓨터통신공학과) ;
  • 최재훈 (한양대학교 전자컴퓨터통신공학과) ;
  • 정경영 (한양대학교 전자컴퓨터통신공학과)
  • Ha, Sang-Gyu (Department of Electronics Computer Engineering, Hanyang University) ;
  • Cho, Jea-Hoon (Department of Electronics Computer Engineering, Hanyang University) ;
  • Kim, Hyeong-Dong (Department of Electronics Computer Engineering, Hanyang University) ;
  • Choi, Jae-Hoon (Department of Electronics Computer Engineering, Hanyang University) ;
  • Jung, Kyung-Young (Department of Electronics Computer Engineering, Hanyang University)
  • 투고 : 2012.01.03
  • 심사 : 2012.01.04
  • 발행 : 2012.01.31
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초록

본 논문에서는 인체의 전자파 해석을 위해 유한 차분 시간 영역법(FDTD: Finite-Difference Time-Domain)에 적합한 분산 모델링을 제안한다. 주파수에 따라 전기적 특성이 변하는 인체의 분산 특성을 정확하고 효율적으로 모델링을 하기 위해 상대 유전율을 2차 복소수 분수 함수식(QCRF: Quadratic Complex Rational Function)으로 표현하였다. WLSM(Weight Least Square Method) 기반의 복소수 커브 피팅법을 적용하여 인체 조직에 대한 QCRF 계수들을 추출하였으며, QCRF 분산 모델을 FDTD에 적용하는 방법을 논의하였다. 본 논문에서 제안한 QCRF 기반의 인체 분산 모델이 Gabriel의 측정 데이터와 일치하며, FDTD 적용시 Cole-Cole 분산 모델보다 계산 효율이 뛰어남을 확인하였다. 단일 주파수와 광대역 주파수 신호를 입력원으로 한 모의 실험을 통하여 QCRF 기반의 FDTD 분산 알고리즘의 검증 및 분석을 마무리하였다.

We propose a dispersive finite-difference time domain(FDTD) algorithm suitable for the electromagnetic analysis of the human body. In this work, the dispersion relation of the human body is modeled by a quadratic complex rational function(QCRF), which leads to an accurate and efficient FDTD algorithm. Coefficients(involved in QCRF) for various human tissues are extracted by applying a weighted least square method(WLSM), referred to as the complex-curve fitting technique. We also presents the FDTD formulation for the QCRF-based dispersive model in detail. The QCRFbased dispersive model is significantly accurate and its FDTD implementation is more efficient than the counterpart of the Cole-Cole model. Numerical examples are used to show the validity of the proposed FDTD algorithm.

키워드

참고문헌

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