Doctoral Dissertations

Keywords and Phrases

Characteristic Mode; PEEC; Radiated Emission; RFI


"Due to the wide-band spectrum of digital signals, a variety of noise generators, including microprocessors, liquid crystal displays, digital microphones, high-speed traces, and double-data-rate memory modules, are found in consumer electronics products. Noise generated by digital circuits can couple to the antennas and degrade their sensitivity. Additionally, it also couples to metallic housings or heatsinks and produces a significant amount of emission. In this research, methodologies are presented to analyze the coupling and radiation mechanism in electronic devices.

To investigate the coupling between the distributive geometries in the radio frequency interference (RFI) problem, a mesh-dependent partition-based coupling mechanism analysis method is provided based on the retarded partial element equivalent circuit (rPEEC) model. The proposed method can quantify the capacitive and inductive coupling between the layout partitions and offers a clear physical understanding of the coupling study.

The dipole moment is a popular equivalent noise source for digital circuits. The characteristic mode theory (CMT) is used as a systematic method to study the interaction between the equivalent noise source and the metallic housings. An analytic modal-based equation is used to predict the emissions. Mitigation methodologies, such as component placement and grounding post design, are also discussed based on the modal analysis results.

The transfer function method is commonly used for RFI problem analysis and mitigation. In this work, using the CMT, a modal-based analysis is provided to calculate the transfer function between the aggressor and the antenna port. The interference can be mitigated by component placement and changes in the antenna designs without compromising the antenna performance"--Abstract, p. iv


Kim, DongHyun (Bill)
Fan, Jun, 1971-

Committee Member(s)

Beetner, Daryl G.
Hwang, Chulsoon
He, Xiaoming


Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering


Missouri University of Science and Technology

Publication Date

Spring 2023


xii, 84 pages

Note about bibliography

Includes_bibliographical_references_(pages 78-83)


© 2023 Xu Wang, All Rights Reserved

Document Type

Dissertation - Open Access

File Type




Thesis Number

T 12268

Electronic OCLC #