Date of Award

December 2018

Degree Name

Master of Science (MS)

Department

Electrical Engineering and Computer Science

Advisor(s)

Tapan K. Sarkar

Keywords

Antenna's, Cauchy Method, Electromagnetics, Extrapolation, Interpolation, Matrix Pencil Method

Subject Categories

Engineering

Abstract

As electromagnetic systems become more complex, the computational time and power required to solve these large problems will also increase. It is thus of practical interest to apply methods of interpolation and extrapolation to reduce the amount of data required for accurate computation. Two such approaches of the implementation of interpolation and extrapolation examined in this thesis are the Cauchy method and the Matrix Pencil method.

This thesis explores the theory, process, and application of the Cauchy method and Matrix Pencil method in interpolating and extrapolating performance metrics of various electromagnetic systems. The Cauchy method begins by assuming that an approximation can be made by a ratio of two polynomials. The two polynomials represent the poles and zeroes of an electromagnetic system in the s-plane. A Total Least Squares (TLS) implementation of the Singular Value Decomposition (SVD) is used to estimate the dimension of the null space and calculate the coefficients of each polynomial. The QR decomposition is added for further computational stability and accuracy. The Matrix Pencil method is a model-based parameter estimation technique that approximates the poles and residues of a system using a sum of complex exponentials.

Four numerical examples will be presented where both techniques are used to interpolate or extrapolate a parameter of interest. The first two examples deal with the approximation of far-field data of a dipole and dipole array. The last two examples showcase these methods in interpolating and extrapolating the near-fields of a parabolic reflector antenna in two different spatial configurations, pointing towards zenith and rotated 90 degrees from zenith. The interpolated/extrapolated near-field will then be transformed to far-field using a spherical near-field to far-field transformation. The results will be evaluated in terms of mean-squared error and compared.

Access

Open Access

Included in

Engineering Commons

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