A novel nonlinear de-embedding procedure based on only the use of low- and high-frequency vector large-signal measurements is proposed. The nonlinear Q-V characteristics, along with the parasitic network, are here determined by combining vector measurements with numerical optimization. Consequently, the knowledge of their contributions allows one to retrieve the actual waveform at the current generator plane starting from any high-frequency load line.

Waveforms-Only Based Nonlinear De-Embedding in Active Devices

RAFFO, Antonio;VANNINI, Giorgio;
2012

Abstract

A novel nonlinear de-embedding procedure based on only the use of low- and high-frequency vector large-signal measurements is proposed. The nonlinear Q-V characteristics, along with the parasitic network, are here determined by combining vector measurements with numerical optimization. Consequently, the knowledge of their contributions allows one to retrieve the actual waveform at the current generator plane starting from any high-frequency load line.
2012
G., Avolio; D. M. M. P., Schreurs; Raffo, Antonio; G., Crupi; Vannini, Giorgio; B., Nauwelaers
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1647081
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 18
social impact