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

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.