2015
DOI: 10.1109/tmtt.2014.2376962
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Modeling of Noisy EM Field Propagation Using Correlation Information

Abstract: In this paper, an efficient method for the numerical simulation of near-and far-field propagation of stochastic electromagnetic (EM) fields is presented. The method is based on the transformation of field correlation dyadics using Green's functions or the field transfer functions computed for deterministic fields. The method accounts for arbitrary correlations between the noise radiation sources and allows to compute the spatial distribution of the spectral energy density of noisy electromagnetic sources. The … Show more

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Cited by 87 publications
(40 citation statements)
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“…The movement scenario that is used in this paper may be described by the azimuth plane and sources disposition in one linear direction (1D movement scenario), while the dipole directions are perpendicular to the azimuth plane. If the total number of sources is S, and if fed current of dipoles can be described by the vector I = [I1, I2, …, IS]), the mutual correlation of stochastic sources radiation is described by the correlation matrix [12,13]:…”
Section: Stochastic Em Source Radiation Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The movement scenario that is used in this paper may be described by the azimuth plane and sources disposition in one linear direction (1D movement scenario), while the dipole directions are perpendicular to the azimuth plane. If the total number of sources is S, and if fed current of dipoles can be described by the vector I = [I1, I2, …, IS]), the mutual correlation of stochastic sources radiation is described by the correlation matrix [12,13]:…”
Section: Stochastic Em Source Radiation Modelmentioning
confidence: 99%
“…Today, a high attention is paid for interference sources that have stochastic radiation nature [12,13], so spatial location estimation of this kind of sources is of crucial interest. In [9][10][11] the neural models for 1D DoA [9,10] and 2D DoA estimation [11] and spatial position estimation of stochastic radiation sources are presented, developed for sources whose radiation is mutually uncorrelated.…”
Section: Introductionmentioning
confidence: 99%
“…The latter may be a wire array, for example, driven by voltages radiating partially correlated field components [14]. The knowledge of the ACF within planar surfaces at different distances from the source can be useful to assist source reconstruction methods [28], [29], [30], [31], far-field estimation [32], [33], as well as recently introduced phase-resolved scanning [34] and Emission Source Microscopy (ESM) methods [35]. Furthermore, the method can be used in conjunction with Huygens box method -also in its incomplete version when the radiation is suppressed through some box faces [33] -to augment the information on random field fluctuations.…”
Section: Introductionmentioning
confidence: 99%
“…These methods have been inherited and adapted to predict the radiation of circuits and devices. More recently, statistical methods have been introduced to characterise fluctuating fields arising from multifunctional digital electronics in the absence of phase references [6], [7].…”
Section: Introductionmentioning
confidence: 99%
“…Near-to-Far Field (NFF) propagation methods have been used to characterise antennas [8] and circuitry [9], and have recently been extended to broadband complex statistical sources, including mobile phones [10], [11], PCBs [12], [6] and open reverberation chambers [7]. The focus in this work is, however, on studying Near-to-Near field (NNF) to understand the role evanescent waves in the propagation of complex, partially coherent, stochastic fields.…”
Section: Introductionmentioning
confidence: 99%