About: A Reliable Algorithm for a pHEMT Nonlinear Model Identification Using a Set of Multibias s-parameters     Goto   Sponge   NotDistinct   Permalink

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Description
  • The nonlinear models of MESFETs implemented in the contemporary CAD tools can well serve to perform various both time- and frequency-domain simulations of microwave circuits with pHEMTs, and the s-parameters measured at different bias points provide valuable information needed to extract the parameters of such nonlinear models. Regarding the model accuracy, a comprehensive comparison has been created for the Curtice, Statz, TOM, TOM2, Materka, Ahmed, and Dobes models. However, creating a reliable optimization procedure for the nonlinear model parameters' extraction from the s-parameters is a complicated task. After a lot of tests, we have suggested a robust combination of a meta-heuristics (Simulated Annealing selected) and a direct method (Levenberg-Marquardt one selected). We have checked the algorithm on two practical examples. First, for a development of a low-noise amplifier intended as a common input unit for a GPS/Galileo/GLONASS/Compass receiver, an accurate nonlinear model of ATF-54143 is necessary. Therefore, we have utilized a set of multibias s-parameters, and we have extracted all the parameters for both our Dobes model (which is further used for a multiobjective optimization) and Statz one (which is necessary for standard simulators like Micro-Cap, e.g.). Second, we have extracted model parameters for a 110 GHz GaAs pHEMT with a gate length 0.25 um. The DC characteristics and s-parameters for this pHEMT are shownfor the frequencies from 4 to 90 GHz.
  • The nonlinear models of MESFETs implemented in the contemporary CAD tools can well serve to perform various both time- and frequency-domain simulations of microwave circuits with pHEMTs, and the s-parameters measured at different bias points provide valuable information needed to extract the parameters of such nonlinear models. Regarding the model accuracy, a comprehensive comparison has been created for the Curtice, Statz, TOM, TOM2, Materka, Ahmed, and Dobes models. However, creating a reliable optimization procedure for the nonlinear model parameters' extraction from the s-parameters is a complicated task. After a lot of tests, we have suggested a robust combination of a meta-heuristics (Simulated Annealing selected) and a direct method (Levenberg-Marquardt one selected). We have checked the algorithm on two practical examples. First, for a development of a low-noise amplifier intended as a common input unit for a GPS/Galileo/GLONASS/Compass receiver, an accurate nonlinear model of ATF-54143 is necessary. Therefore, we have utilized a set of multibias s-parameters, and we have extracted all the parameters for both our Dobes model (which is further used for a multiobjective optimization) and Statz one (which is necessary for standard simulators like Micro-Cap, e.g.). Second, we have extracted model parameters for a 110 GHz GaAs pHEMT with a gate length 0.25 um. The DC characteristics and s-parameters for this pHEMT are shownfor the frequencies from 4 to 90 GHz. (en)
Title
  • A Reliable Algorithm for a pHEMT Nonlinear Model Identification Using a Set of Multibias s-parameters
  • A Reliable Algorithm for a pHEMT Nonlinear Model Identification Using a Set of Multibias s-parameters (en)
skos:prefLabel
  • A Reliable Algorithm for a pHEMT Nonlinear Model Identification Using a Set of Multibias s-parameters
  • A Reliable Algorithm for a pHEMT Nonlinear Model Identification Using a Set of Multibias s-parameters (en)
skos:notation
  • RIV/68407700:21230/13:00210703!RIV14-TA0-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(TE01020186)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
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  • 59003
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00210703
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Pseudomorphic HEMT; pHEMT; modeling; model identification; characterization; parameter extraction; s-parameters; multibias measurements; root-mean-square criteria; optimization; metaheuristics; simulated annealing; Levenberg-Marquardt algorithm (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E99AACCA0910]
http://linked.open...v/mistoKonaniAkce
  • Bethesda, Maryland
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • International Semiconductor Device Research Symposium 2013
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dobeš, Josef
  • Grábner, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • IEEE
https://schema.org/isbn
  • 978-1-63173-156-3
http://localhost/t...ganizacniJednotka
  • 21230
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