Modelling of noisy EM field propagation using correlation information of sampled data

Author

Russer, Johannes A. ; Mukhtar, Farooq ; Filonik, Oliver ; Scarpa, Giuseppe ; Russer, Peter

Author_Institution

Inst. for Nanoelectron., Tech. Univ. Munchen, München, Germany

fYear

2014

fDate

14-16 May 2014

Firstpage

1

Lastpage

4

Abstract

Stochastic electromagnetic fields with Gaussian amplitude probability distribution can be fully described by auto-and cross correlation spectra of the field components. The cross correlation spectra have to be known for the the pairs of field components taken at different spatial points. In this work we present a methodology for computing near- and far-field propagation of the stochastic electromagnetic field by transformation of the field correlation matrices using free-space Green´s functions.

Keywords

Gaussian distribution; Green´s function methods; Hermitian matrices; correlation methods; electromagnetic wave propagation; stochastic processes; Gaussian amplitude probability distribution; autocorrelation spectra; correlation matrix transformation; cross correlation spectra; far-field propagation; free-space Green´s function; near-field propagation; noisy EM Field propagation modelling; sampled data correlation information; stochastic electromagnetic field; Computational modeling; Correlation; Electromagnetic interference; Electromagnetics; Method of moments; Stochastic processes; Transmission line matrix methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO), 2014 International Conference on

Conference_Location

Pavia

Type

conf

DOI

10.1109/NEMO.2014.6995713

Filename

6995713