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

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.
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Abstract

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.

Abstract
Document type
Conference or Workshop Item (Paper)
Creators
CreatorsAffiliationORCID
Borgarino, M.
Menozzi, R.
Tasselli, J.
Marty, A.
Subjects
DOI
Deposit date
16 Feb 2006
Last modified
17 Feb 2016 14:34
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