Title :
Estimating Far-Field Emissions From Simulated Near-Field Data With Artificial Neural Networks
Author :
Firmino, Luciana ; Raizer, Adroaldo ; MARECHAL, Yves
Author_Institution :
Fed. Univ. of Santa Catarina, Florianopolis, Brazil
Abstract :
In this paper, a procedure for estimating the electromagnetic fields radiated far from their source based on near-field (NF) simulation is considered. The NFs radiated from the sources are modeled with the transmission-line matrix method. The so-called far fields are estimated with the help of different artificial neural networks. Comparison with results based on theoretical equations and software simulations substantiate the validity of the proposed method association.
Keywords :
dipole antennas; electrical engineering computing; loop antennas; neural nets; ANN; EM field; EM source; Hertzian dipole; artificial neural networks; complex antennas; electromagnetic fields; far-field emissions estimation; loop antennas; near-field data; near-field simulation; outward radiation; software simulations; theoretical equations; transmission-line matrix method; Antenna measurements; Artificial neural networks; Mathematical model; Neurons; Noise measurement; Numerical models; Time-domain analysis; Antennas and propagation; artificial neural networks (ANNs); computational electromagnetics (EMs); transmission-line matrix methods;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2013.2282354
