A genetic algorithm approach to InGaP/GaAs HBT parameter extraction and RF characterization

Yi-Ming Li*, Yen Yu Cho, Chuan Sheng Wang, Kuen Yu Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


In this paper, a computational intelligence technique is applied to extract and simulate the stationary and high-frequency properties of heterojunction bipolar transistors (HBTs). A set of HBT circuit equations formulated with the Gummel-Poon model in time domain is solved with (1) the waveform relaxation (WR). (2) monotone iterative (MI) method, and (3) genetic algorithm (GA) with floating-point operators. The coupled nonlinear equations are decoupled and solved with the WR and MI methods in time domain, and the results obtained are used for the optimization of the characteristics with the GA method. The iteration can be terminated when the final convergent global solution is obtained. The time domain result is used in analyzing the property of the output third-order intercept point (OIP3) with the fast Fourier transform (FFT). Compared with the SPICE result, our simulation results demonstrate that this method is accurate and stable in high frequency simulation. This approach has practical applications in HBT characterization and radio frequency (RF) circuit optimal design.

Original languageEnglish
Pages (from-to)2371-2374
Number of pages4
JournalJapanese Journal of Applied Physics, Part 1: Regular Papers and Short Notes and Review Papers
Issue number4 B
StatePublished - Apr 2003


  • Genetic algorithm
  • HBT
  • Parameter extraction technique
  • RF
  • Two-tone characteristics

Fingerprint Dive into the research topics of 'A genetic algorithm approach to InGaP/GaAs HBT parameter extraction and RF characterization'. Together they form a unique fingerprint.

Cite this