Application of Stochastic FDTD to Holland's Thin-Wire Method

This letter presents an extension of the stochastic finite-difference time-domain (FDTD) method to predict the standard deviation of currents and charges in the Holland FDTD subcell method for thin wires. A discussion is presented on the effect of cross correlation between the variables affected by...

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Veröffentlicht in:	IEEE antennas and wireless propagation letters 2019-10, Vol.18 (10), p.2046-2050
Hauptverfasser:	Garcia, Salvador Gonzalez, Cabello, Miguel R., Angulo, Luis D., Bretones, A. Rubio, Atienza, Myriam G., Pascual-Gil, E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Correlation Cross correlation Dipole antennas Finite difference methods Finite difference time domain method Finite-difference time domain (FDTD) Monte Carlo simulation Monte Carlo method stochastic methods Stochastic processes thin-wire model Time domain analysis Uncertainty Wires Wu–King antenna
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Beschreibung
Zusammenfassung:	This letter presents an extension of the stochastic finite-difference time-domain (FDTD) method to predict the standard deviation of currents and charges in the Holland FDTD subcell method for thin wires. A discussion is presented on the effect of cross correlation between the variables affected by uncertainty and the variability of the observed quantities. For this, a simple dipole antenna loaded with a Wu-King profile is analyzed, and the results are validated with the Monte Carlo method.
ISSN:	1536-1225 1548-5757
DOI:	10.1109/LAWP.2019.2937184