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ORCID
N/A
Access Type
Open Access Thesis
Document Type
thesis
Degree Program
Electrical & Computer Engineering
Degree Type
Master of Science in Electrical and Computer Engineering (M.S.E.C.E.)
Year Degree Awarded
2014
Month Degree Awarded
September
Abstract
Electromagnetic wave propagation over random sea surfaces is a classical problem of interest for the Navy, and significant research has been done over the years. Here we make use of numerical and analytical methods to predict the propagation of microwaves over random rough surface. The numerical approach involves utilization of the direct solution (using Volterra integral equation of the second kind) to currents induced on a rough surface due to forward propagating waves to compute the scattered field. The mean scattered field is computed using the Monte-Carlo method. Since the exact solution (consisting of an infinite series) to induced current density is computationally intensive, there exists a need to predict the propagation using the closely accurate zeroth order induced current (first term of the series) for time-varying multiple realizations of a random rough surface in a computationally efficient manner. The wind-speed dependent, fully-developed, Piersen-Moskowitz sea spectrum has been considered in order to model a rough sea surface, although other partially-developed roughness spectra may also be utilized. An analytical solution based on the zeroth order current density obtained by deriving the mean scattered field as a function of the range and vertical height by directly using the Parabolic Equation (PE) approximation method and the resulting Green's function has been utilized for a comparative study. The analytical solution takes into account the diffused component of the scattered field.
DOI
https://doi.org/10.7275/5753278
First Advisor
Ramakrishna Janaswamy
Second Advisor
Do-Hoon Kwon
Recommended Citation
Balu, Narayana Srinivasan, "Propagation Prediction Over Random Rough Surface By Zeroth Order Induced Current Density" (2014). Masters Theses. 129.
https://doi.org/10.7275/5753278
https://scholarworks.umass.edu/masters_theses_2/129
Included in
Electromagnetics and Photonics Commons, Other Electrical and Computer Engineering Commons, Signal Processing Commons, Systems and Communications Commons