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Article
RFI Noise Source Quantification based on Reciprocity
Proceedings of the 2018 IEEE Symposium on Electromagnetic Compatibility, Signal Integrity and Power Integrity (2018, Long Beach, CA)
  • Yin Sun
  • Bin-Chyi Tseng
  • Hank Lin
  • Chulsoon Hwang, Missouri University of Science and Technology
Abstract

In modern mobile electronic systems, several high speed digital ICs often working simultaneously and can cause interference issues with nearby antennas at the same time. In this paper, a method to quantify the contribution of multiple noise sources radiating simultaneously is proposed. The reciprocity theorem based radio frequency interference (RFI) estimation can be decomposed into forward and reverse problems. Multiple imaginary Huygens' boxes are introduced to enclose different IC noise sources. In forward problem, the ICs are working and the tangential E and H fields on corresponding Huygens' boxes can be obtained. In reverse problem, the victim antenna is excited while the noise sources are turned off. On the same set of Huygens' boxes, the tangential electromagnetic fields from the radiating antenna can also be recorded. With tangential E and H fields in both the forward and reverse problems on different Huygens' boxes, the coupled voltage contributed by multiple noise sources can be calculated separately using reciprocity theorem. The RFI noise source quantification method is validated by simulation. A test structure with two simultaneously radiated traces and a planar inverted-F antenna (PIFA) is used.

Meeting Name
2018 IEEE Symposium on Electromagnetic Compatibility, Signal Integrity and Power Integrity, EMC, SI and PI 2018 (2018: Jul. 30-Aug. 3, Long Beach, CA)
Department(s)
Electrical and Computer Engineering
Comments
This work was supported by ASUSTek Computer Inc. and the National Science Foundation (NSF) under Grants No. IIP-1440110.
Keywords and Phrases
  • Busbars,
  • Decomposition,
  • Digital integrated circuits,
  • Electromagnetic compatibility,
  • Electromagnetic fields,
  • Frequency estimation,
  • Microstrip antennas,
  • Partial discharges,
  • Radio waves,
  • Mobile electronics,
  • Multiple noise sources,
  • Near-field scanning,
  • Noise source,
  • Planar inverted-F antenna,
  • Radiating antennas,
  • Radio frequency interference,
  • Reciprocity theorem,
  • Radio interference,
  • Near field scanning,
  • Noise source quantification
International Standard Book Number (ISBN)
978-1-5386-6621-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
7-1-2018
Publication Date
01 Jul 2018
Citation Information
Yin Sun, Bin-Chyi Tseng, Hank Lin and Chulsoon Hwang. "RFI Noise Source Quantification based on Reciprocity" Proceedings of the 2018 IEEE Symposium on Electromagnetic Compatibility, Signal Integrity and Power Integrity (2018, Long Beach, CA) (2018) p. 548 - 553
Available at: http://works.bepress.com/chulsoon-hwang/63/