A methodology is presented aimed at extracting the parameters of a lumped equivalent circuit model of a network from measurements of its complex network (scattering) parameters. The core of the extraction procedure is a modified complex valued neural network that can directly accept the complex network parameters as inputs. The methodology is here applied to the derivation of the circuit model of the balun of a biconical antenna. The complete process of parameter extraction is described paying particular attention to the description of the physical model of the network, the measurement setup and the operation and training of the neural network.

Complex Valued Neural Network Modelling of the Balun of a Biconical Antenna / Alessio Bonci; Carlo Carobbi; Antonio Luchetta. - STAMPA. - (2014), pp. 501-506. ((Intervento presentato al convegno 2014 IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY tenutosi a Raleigh (CO) nel Aug. 3-8, 2014.

Complex Valued Neural Network Modelling of the Balun of a Biconical Antenna

BONCI, ALESSIO;CAROBBI, CARLO;LUCHETTA, ANTONIO
2014

Abstract

A methodology is presented aimed at extracting the parameters of a lumped equivalent circuit model of a network from measurements of its complex network (scattering) parameters. The core of the extraction procedure is a modified complex valued neural network that can directly accept the complex network parameters as inputs. The methodology is here applied to the derivation of the circuit model of the balun of a biconical antenna. The complete process of parameter extraction is described paying particular attention to the description of the physical model of the network, the measurement setup and the operation and training of the neural network.
PROCEEDINGS 2014 IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY
2014 IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY
Raleigh (CO)
Aug. 3-8, 2014
Alessio Bonci; Carlo Carobbi; Antonio Luchetta
File in questo prodotto:
File Dimensione Formato  
IEEE EMC 2014 - Complex valued neural network balun.pdf

Accesso chiuso

Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: DRM non definito
Dimensione 856.84 kB
Formato Adobe PDF
856.84 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in FLORE 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/2158/892722
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 0
social impact