Parameter Extraction of InGaP/GaAs HBT Small-Signal Equivalent Circuit Using a Genetic Algorithm

유전자 알고리즘을 이용한 InGaP/GaAs HBT 소신호 등가회로 파라미터 추출

  • 장덕성 (대림정보통신 쏠루션사업부) ;
  • 문종섭 (고려대학교 전자및 정보공학부) ;
  • 박철순 (한국정보통신대학원대학교) ;
  • 윤경식 (고려대학교 전자및 정보공학부)
  • Published : 2001.12.01

Abstract

The present approach based on the genetic algorithm with improved selections of bonds was adopted to extract a bridged T equivalent circuit elements of $\times10\mu m^2$InGaP/GaAs HBT. the small-signal model parameters were extracted using the genetic algorithm from S-parameters measured at different frequencies under multiple forward-active biases, which demonstrate physically meaningful values and consistency. The agreement between the measured and modeled S-parameters is excellent over the frequency range of 2 to 26.5GHz.

에미커 크기가 2$\times10\mu m^2$인 InGaP/GaAs이종접합 바이폴라 트랜지스터의 T자 모양으로 연결된 등기회로 요소를추출하기 위하여, 경계구간 설정이 개선된 유전자 알고리즘을 채택하였다. 이 소신호 모델 파리미터를 유전자 알고리즘을 사용하여, 다양한 순방향 바이서스에 측정한 S-파리미터로부터 추출하였다. 추출된 값들은 물리적인의미와 일관성을 보여준다. 모델 S-파리미터는 측정 S-파라미터와 2GHz-26.6GHz의 주파수 범위에서 잘 일치한다.

Keywords

References

  1. IEEE Trans. Microwave Theory and Tech v.43 Direct Extraction of Equivalent Circuit Parameters for Heterojunction Bipolar Transistors C.-J. Wei;C.M. Hwang
  2. IEEE Trans. Microwave Theory and Tech. v.47 Direct Extraction of HBT Equivalent-Circuit Elements M. Rudolph;R. Doerner;P. Heymann
  3. IEEE Trans. Circ. and Syst.-Ⅰ v.43 Small-signal Modeling for Microwave FET Linear Circuits Based on a Genetic Algorithm R. Menozzi;A. Piazzi;F. Contini
  4. IEEE GaAs IC Symp. Tech. Digest. HBT Small-signal Model Extraction Using a Genetic Algorithm R. Menozzi;M. Borgaino;J.Tasselli;A.Marty
  5. Cybernetics and Systems : An International Journal v.29 Genetic Algorithms: A Tool for Modeling, simulation, and optimization of complex systems H. Szczerbicka;M. Becker;M. Syrjakow
  6. Genetic Algorithm in Search, Optimization and Machine Learning Goldberg D. E.
  7. Ph.D. dissertation, Univ. Michigan;Dissertation Abstracts International v.43 no.40 An analysis of the behavior of a class of genetic adaptive systems K. A. De Jong
  8. Proc.11th New Zealand Computer Conf. Genetic algorithms for optimization problems Z. Michalewicz;G. A. Vignaux;L. Groves