Artigo Acesso aberto Revisado por pares

A new family of neural network-based bidirectional and dispersive behavioral models for nonlinear RF/microwave subsystems(invited paper)

2001; Wiley; Volume: 12; Issue: 1 Linguagem: Inglês

10.1002/mmce.10022

ISSN

1096-4290

Autores

Vittorio Rizzoli, Andrea Neri, Diego Masotti, A. Lipparini,

Tópico(s)

Radio Frequency Integrated Circuit Design

Resumo

International Journal of RF and Microwave Computer-Aided EngineeringVolume 12, Issue 1 p. 51-70 A new family of neural network-based bidirectional and dispersive behavioral models for nonlinear RF/microwave subsystems(invited paper) Vittorio Rizzoli, Corresponding Author Vittorio Rizzoli vrizzoli@deis.unibo.it Dipartimento di Elettronica, Informatica e Sistemistica, University of Bologna, Villa Griffone, 40044 Pontecchio Marconi, Bologna, ItalyDipartimento di Elettronica, Informatica e Sistemistica, University of Bologna, Villa Griffone, 40044 Pontecchio Marconi, Bologna, ItalySearch for more papers by this authorAndrea Neri, Andrea Neri Fondazione Ugo Bordoni, Villa Griffone, 40044 Pontecchio Marconi, Bologna, ItalySearch for more papers by this authorDiego Masotti, Diego Masotti Dipartimento di Elettronica, Informatica e Sistemistica, University of Bologna, Villa Griffone, 40044 Pontecchio Marconi, Bologna, ItalySearch for more papers by this authorAlessandro Lipparini, Alessandro Lipparini Dipartimento di Elettronica, Informatica e Sistemistica, University of Bologna, Villa Griffone, 40044 Pontecchio Marconi, Bologna, ItalySearch for more papers by this author Vittorio Rizzoli, Corresponding Author Vittorio Rizzoli vrizzoli@deis.unibo.it Dipartimento di Elettronica, Informatica e Sistemistica, University of Bologna, Villa Griffone, 40044 Pontecchio Marconi, Bologna, ItalyDipartimento di Elettronica, Informatica e Sistemistica, University of Bologna, Villa Griffone, 40044 Pontecchio Marconi, Bologna, ItalySearch for more papers by this authorAndrea Neri, Andrea Neri Fondazione Ugo Bordoni, Villa Griffone, 40044 Pontecchio Marconi, Bologna, ItalySearch for more papers by this authorDiego Masotti, Diego Masotti Dipartimento di Elettronica, Informatica e Sistemistica, University of Bologna, Villa Griffone, 40044 Pontecchio Marconi, Bologna, ItalySearch for more papers by this authorAlessandro Lipparini, Alessandro Lipparini Dipartimento di Elettronica, Informatica e Sistemistica, University of Bologna, Villa Griffone, 40044 Pontecchio Marconi, Bologna, ItalySearch for more papers by this author First published: 06 December 2001 https://doi.org/10.1002/mmce.10022Citations: 20AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract The article introduces a new approach to the ANN-based behavioral modeling of nonlinear RF/microwave systems or subsystems. The proposed model accounts for both the linear and the nonlinear distortion of modulated signals. The former is introduced by the two-port frequency-dependent admittance matrix. The latter is described by the means of a couple of describing functions (which may also be frequency-dependent), relating the two-port linear and the nonlinear responses. The describing functions are approximated by artificial neural networks (ANN) trained by harmonic-balance results. The resulting model is fast to compute, can accurately handle broadband modulated signals, and is fully bilateral. This means that the model can be routinely used to analyze systems where bidirectional signal flow takes place, e.g., due to mismatches between the interconnected subsystems, or even due to the presence of filters operating in the stopband. © 2002 John Wiley & Sons, Inc. Int J RF and Microwave CAE 12: 51–70, 2002. Citing Literature Volume12, Issue1Special Issue: Applications of Artificial Neural Networks to RF and Microwave DesignJanuary 2002Pages 51-70 RelatedInformation

Referência(s)