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
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;
Conference_Titel :
Electromagnetic Compatibility (EMC), 2014 IEEE International Symposium on
Conference_Location :
Raleigh, NC
Print_ISBN :
978-1-4799-5544-2
DOI :
10.1109/ISEMC.2014.6899024