A fundamental step in the design of electronic circuits is the verification that they are stable at least on a given set of external terminations, in order to avoid that the solution found be not observable in practice. This is especially true at microwave and millimeter-wave circuits, which are typically analyzed in the frequency domain rather than in the time domain. As a consequence, both in the linear and large-signal case, unstable solutions may be found instead of an observable one. Unfortunately, as compared to the linear case, the stability analysis of large-signal solutions is significantly more cumbersome. In particular, although it is possible to translate the small-signal tests based on the Nyquist principle to large-signal equivalents, the price to pay is a significant increase in matrix size. In the case of the Ohtomo test, which has only recently been applied to large-signal solutions, it is however possible to exploit the structure of the problem to significantly reduce the complexity and, therefore, simulation time. A real-world balanced amplifier is selected to validate the proposed method and illustrate its practical usage. The application of the method to a realistic monolithic circuit with a large number of devices is also presented.

Colangeli, S., Pantoli, L., Ciccognani, W., Longhi, P.e., Leuzzi, G., Limiti, E. (2024). Partitioned Ohtomo stability test for efficient analysis of large-signal solutions. IEEE ACCESS, 12, 52227-52236 [10.1109/ACCESS.2024.3387054].

Partitioned Ohtomo stability test for efficient analysis of large-signal solutions

Sergio Colangeli
;
Walter Ciccognani;Patrick E. Longhi;Giorgio Leuzzi;Ernesto Limiti
2024-01-01

Abstract

A fundamental step in the design of electronic circuits is the verification that they are stable at least on a given set of external terminations, in order to avoid that the solution found be not observable in practice. This is especially true at microwave and millimeter-wave circuits, which are typically analyzed in the frequency domain rather than in the time domain. As a consequence, both in the linear and large-signal case, unstable solutions may be found instead of an observable one. Unfortunately, as compared to the linear case, the stability analysis of large-signal solutions is significantly more cumbersome. In particular, although it is possible to translate the small-signal tests based on the Nyquist principle to large-signal equivalents, the price to pay is a significant increase in matrix size. In the case of the Ohtomo test, which has only recently been applied to large-signal solutions, it is however possible to exploit the structure of the problem to significantly reduce the complexity and, therefore, simulation time. A real-world balanced amplifier is selected to validate the proposed method and illustrate its practical usage. The application of the method to a realistic monolithic circuit with a large number of devices is also presented.
2024
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-INF/01
English
Harmonic balance; Microwaves; Nonlinear circuits; Ohtomo test; Stability analysis
Colangeli, S., Pantoli, L., Ciccognani, W., Longhi, P.e., Leuzzi, G., Limiti, E. (2024). Partitioned Ohtomo stability test for efficient analysis of large-signal solutions. IEEE ACCESS, 12, 52227-52236 [10.1109/ACCESS.2024.3387054].
Colangeli, S; Pantoli, L; Ciccognani, W; Longhi, Pe; Leuzzi, G; Limiti, E
Articolo su rivista
File in questo prodotto:
File Dimensione Formato  
Partitioned_Ohtomo_Stability_Test_for_Efficient_Analysis_of_Large-Signal_Solutions.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 1.42 MB
Formato Adobe PDF
1.42 MB Adobe PDF Visualizza/Apri

I documenti in IRIS 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/2108/376064
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact