Publication Date

2015

Document Type

Dissertation/Thesis

First Advisor

Demir, Veysel, 1974-

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Electrical Engineering

LCSH

Engineering; Electrical engineering; Dielectrics--Research; Arbitrary constants--Research; Radio frequency identification systems--Research

Abstract

Dielectric materials are mostly used as a substrate in fabrication of radio frequency circuits. It is important to know dielectric properties before fabrication because changes in these values may result in frequency shift, frequency dispersion, etc. This paper introduces two methods for extraction of the dielectric constant from measured S-parameters.;The first method is based on a genetic algorithm, which optimizes the value of the dielectric constant by minimizing discrepancies between the measured and simulated S--parameters. Measured S-parameters data was collected from a network analyzer. For simulated S-parameters data, a circuit template was designed in sonnet EM simulation software and was simulated each and every time by changing the value of the dielectric constant. In order to change the dielectric constant, a Matlab script file is generated for circuit template and the value is changed in script file.;In the second method, which is called as transmission line method, four pairs of transmission lines are fabricated on a substrate whose dielectric constant is to be determined. An effective dielectric constant was calculated from measured S-parameters data for each pair of transmission lines by using a special equation designed from transmission line theory. After the calculation of an effective dielectric constant, Appcad RF design calculator was used to find the appropriate dielectric constant from the effective dielectric constant.

Comments

Advisors: Demir Veysel.||Committee members: Haji-sheikh J. Micheal; McGinn P. Vincent.

Extent

53 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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