Masters Theses

Author

Han Gao

Abstract

"In high-speed digital systems as data rates increase to tens of gigabits per second, the loss from the conductor surface roughness cannot be ignored. Djordjeic and Huray roughness model is widely used to count for the conductor roughness loss. However the practical application of the existed models are not straight forward since the frequency-dependent dielectric loss is usually unknown, leading to high discrepancies at high frequencies (above 10 GHz). To solve this problem, a behavioral model was developed by adding a dispersive term to the dielectric. The dispersive term in the model captures dispersion behavior observed in the measurement accurately. The proposed model is validated by measurement on both single-ended and differential transmission lines. Based on behavioral model, another physic dielectric model with dispersive term added to bulk dielectric used together with the Huray surface roughness model to represent the loss due to roughness on traces.

Based on the theory proposed above, a new method to extract Dielectric constant (Dk) and dissipation factor (Df) is developed. According this new method sensitivity study, when transmission lines are tighter coupled, the more accurate of the extracted results. However, most of the industries test coupon are built with loss coupling. Therefore, a strong coupling test coupon with working frequency up to 50GHz need to build to verify this new extraction method. During optimization of footprint, non-functional pads are applied to reduce high impedance caused by current loops, especially for the last several bottom layers"--Abstract, page iii.

Advisor(s)

Drewniak, James L.
Khilkevich, Victor

Committee Member(s)

Fan, Jun, 1971-

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2019

Pagination

x, 60 pages

Note about bibliography

Includes bibliographic references (pages 57-59).

Rights

© 2019 Han Gao, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11528

Electronic OCLC #

1105154715

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