TY - GEN
T1 - Modelling of noisy EM field propagation using correlation information of sampled data
AU - Russer, Johannes A.
AU - Mukhtar, Farooq
AU - Filonik, Oliver
AU - Scarpa, Giuseppe
AU - Russer, Peter
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/22
Y1 - 2014/12/22
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84921684508&partnerID=8YFLogxK
U2 - 10.1109/NEMO.2014.6995713
DO - 10.1109/NEMO.2014.6995713
M3 - Conference contribution
AN - SCOPUS:84921684508
T3 - 2014 International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2014
BT - 2014 International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2014
Y2 - 14 May 2014 through 16 May 2014
ER -