A comparison between HBT small-signal model optimization using a genetic algorithm and direct parameter extraction

Autor: Borgarino, M., Menozzi, R., Tasselli, J., Marty, A.
Jazyk: italština
Rok vydání: 1998
Předmět:
Zdroj: Borgarino, M. ; Menozzi, R. ; Tasselli, J. ; Marty, A. (1998) A comparison between HBT small-signal model optimization using a genetic algorithm and direct parameter extraction. In: Gallium Arsenide Applications Symposium. GAAS 1998, 5-6 October 1998, Amsterdam, The Netherlands.
Popis: This work for the first time shows that physically meaningful, wideband, multi-bias small-signal modeling of HBTs can be efficiently and accurately achieved using a Genetic Algorithm (GA). The physical significance of the equivalent circuit parameters extracted by the GA was checked using a Direct Extraction Technique (DET). The two procedures were applied to HBT S-parameters measured at different bias points. The simulated S-parameters match very well with the measured ones over the whole frequency range investigated. For each point we obtained quite a good agreement between the parameters extracted by the DET and by the GA, which demonstrates the ability of the GA to efficiently extract a physically significant HBT small-signal model.
Databáze: OpenAIRE