Masters Theses

Xiang Fang

Keywords and Phrases

High speed PCB; Material characterization

Abstract

"Accurate frequency-dependent dielectric properties are important for accurate modelling of signal and power integrity problems. And decoupling capacitors perform an important function in the impedance reduction of power distribution systems. Hence, precise dielectric properties and micromodels for decoupling capacitors are the key parts for the signal and power integrity design.

In Section 1, the existing method for extracting dielectric properties from fabricated multilayer printed circuit boards based on the measured electrical property of fabricated transmission lines is introduced and validated using simulations. And the potential errors in the procedure are discussed. After that Djordjevic-Sarkar causal dielectric model for dielectric properties is studied and a new extraction method is proposed which takes advantage of differential and common mode behavior of differential stripline to remove the roughness effect and extract the transmission line based dielectric constant (DK) and dissipation factor (DF).

In Section 2, circuit macromodels are constructed for the decoupling capacitors, which include the local environment, such that the overall power distribution network (PDN) model is simplified. Such a macromodel must be sufficiently decoupled from the rest of the PDN system such that the coupling can be ignored with a sufficiently small error. The macromodel for the capacitance environment will simplify the modeling of the rest of the PDN system"--Abstract, page iii.

Advisor(s)

Fan, Jun, 1971-

Committee Member(s)

Drewniak, James L.
Tsiklauri, Mikheil

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Sponsor(s)

National Science Foundation (U.S.)

Comments

This thesis is based upon work supported partially by the National Science Foundation under Grant No. IIP-1440110.

Research Center/Lab(s)

Electromagnetic Compatibility (EMC) Laboratory

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2016

Pagination

ix, 46 pages

Note about bibliography

Includes bibliographic references (pages 44-45).

Rights

© 2016 Xiang Fang, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11711

Electronic OCLC #

1164805565

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