Files in this item



application/pdf8502350.pdf (5MB)Restricted to U of Illinois
(no description provided)PDF


Title:Electromagnetic Scattering From a Strongly Turbulent Medium
Author(s):Yang, Chih-Chung
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Electronics and Electrical
Abstract:A wave incident on a volume of random fluctuations of dielectric permittivity will be scattered in all directions. When the fluctuation is weak, the single scattering theory is widely used and found to be satisfactory; however, as many practical situations are known to exist, if fluctuations are strong, the multiple scattering effect must be taken into account. In this report, two theoretical models of the multiple scattering effects are presented and discussed. The average scattered intensity is the quantity of greatest concern and is computed for both models. In the first model, the cumulative forward-scatter single-backscatter assumption is used. Under this assumption, the wave is scattered mainly in a narrow cone centered in the forward direction. A scattering cross-section formula cast in the form of the Booker-Gordon formula is derived. This formula takes into account both the cumulative forward scattering and the Fresnel diffraction. This result is further generalized to cover the case of multiple random layers. In the second model, the equation for the two-frequency two-position mutual coherence function is derived, based on the wave equation as a starting point. The equation is in the form of the radiative transfer equation. The incoherent part of this function corresponds to the scattered intensity in the backward direction in case a plane wave is impressed.
Issue Date:1984
Description:187 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1984.
Other Identifier(s):(UMI)AAI8502350
Date Available in IDEALS:2014-12-15
Date Deposited:1984

This item appears in the following Collection(s)

Item Statistics