NDLI: Application of strong fluctuation random medium theory to scattering of electromagnetic waves from a half-space of dielectric mixture

Content Provider	IEEE Xplore Digital Library
Author	Lueng Tsang Jin Kong Newton, R.
Copyright Year	1963
Abstract	The strong fluctuation random medium theory is applied to calculate scattering from a half-space of dielectric mixture. The first and second moments of the fields are calculated, respectively, by using the bilocal and the distorted Born approximations, and the low frequency limit is taken. The singularity of the dyadic Green's function is taken into account. Expressions for the effective permittivity for the full space case are derived. It is shown that the derived result of the effect permittivity is identical to that of the Polder and van Santern mixing formula. The correlation function of the random medium is obtained by using simple physical arguments and is expressed in terms of the fractional volumes and particle sizes of the constituents of the mixture. Backscattering coefficients of a half-space dielectric mixture are also calculated. Numerical results of the effective permittivity and backscattering coefficients are illustrated using typical parameters encountered in microwave remote sensing of dry and wet snow. It is also shown that experimental data can be matched with the theory by using physical parameters of the medium as obtained from ground truth measurements.
Sponsorship	IEEE Antennas and Propagation Society
Starting Page	292
Ending Page	302
Page Count	11
File Size	830822
File Format	PDF
ISSN	0018926X
Volume Number	30
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1982-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electromagnetic scattering Fluctuations Dielectrics Permittivity Particle scattering Backscatter Approximation methods Frequency Green's function methods Remote sensing
Content Type	Text
Resource Type	Article
Subject	Condensed Matter Physics Electrical and Electronic Engineering

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