DocumentCode
236912
Title
Complex valued neural network modelling of the balun of a biconical antenna
Author
Bonci, Alessio ; Carobbi, Carlo ; Luchetta, Antonio
Author_Institution
Dept. of Inf. Eng., Univ. of Florence, Florence, Italy
fYear
2014
fDate
4-8 Aug. 2014
Firstpage
501
Lastpage
506
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.
Keywords
S-parameters; baluns; conical antennas; electrical engineering computing; equivalent circuits; neural nets; balun; biconical antenna; complex network parameters; lumped equivalent circuit model; modified complex valued neural network modelling; neural network training; parameter extraction procedure; scattering parameter; Antenna measurements; Impedance matching; Integrated circuit modeling; Neural networks; Neurons; Ports (Computers); Scattering; antenna modelling; complex valued neural network; electromagnetic compatibility measurements; model extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Compatibility (EMC), 2014 IEEE International Symposium on
Conference_Location
Raleigh, NC
Print_ISBN
978-1-4799-5544-2
Type
conf
DOI
10.1109/ISEMC.2014.6899024
Filename
6899024
Link To Document