Application of PRBS for dominant source identification electromagnetic interference caused by digital integrated circuits

Chiaki Ishida; Kengo Iokibe; Yoshitaka Toyota

doi:10.1109/ICCE-China.2017.7991087

Application of PRBS for dominant source identification electromagnetic interference caused by digital integrated circuits

Chiaki Ishida, Kengo Iokibe, Yoshitaka Toyota

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Pseudo-random binary sequence (PRBS) was applied to identify dominant noise sources of electromagnetic interference (EMI) radiated from a printed circuit board (PCB) including line driver ICs. The ICs were controlled in activation of output according to a set of PRBSs that varied amplitude of switching current generated in the ICs and also changes the strength of EMI. Correlation coefficients between the temporal variation of conducted EMI strength and PRBS were examined. Results showed that PRBS has a potential to identify dominant noise sources of EMI.

Original language	English
Title of host publication	2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	245-246
Number of pages	2
ISBN (Electronic)	9781509040179
DOIs	https://doi.org/10.1109/ICCE-China.2017.7991087
Publication status	Published - Jul 25 2017
Event	4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 - Taipei, United States Duration: Jun 12 2017 → Jun 14 2017

Other

Other	4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Country	United States
City	Taipei
Period	6/12/17 → 6/14/17

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Computer Networks and Communications
Signal Processing
Biomedical Engineering
Instrumentation
Electrical and Electronic Engineering

Access to Document

10.1109/ICCE-China.2017.7991087

Fingerprint Dive into the research topics of 'Application of PRBS for dominant source identification electromagnetic interference caused by digital integrated circuits'. Together they form a unique fingerprint.

Cite this

Ishida, C., Iokibe, K., & Toyota, Y. (2017). Application of PRBS for dominant source identification electromagnetic interference caused by digital integrated circuits. In 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 (pp. 245-246). [7991087] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-China.2017.7991087

Application of PRBS for dominant source identification electromagnetic interference caused by digital integrated circuits. / Ishida, Chiaki; Iokibe, Kengo ; Toyota, Yoshitaka.

2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 245-246 7991087.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ishida, C, Iokibe, K & Toyota, Y 2017, Application of PRBS for dominant source identification electromagnetic interference caused by digital integrated circuits. in 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017., 7991087, Institute of Electrical and Electronics Engineers Inc., pp. 245-246, 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017, Taipei, United States, 6/12/17. https://doi.org/10.1109/ICCE-China.2017.7991087

@inproceedings{f2aed22ac8e046a18bdf295a4663ba48,

title = "Application of PRBS for dominant source identification electromagnetic interference caused by digital integrated circuits",

abstract = "Pseudo-random binary sequence (PRBS) was applied to identify dominant noise sources of electromagnetic interference (EMI) radiated from a printed circuit board (PCB) including line driver ICs. The ICs were controlled in activation of output according to a set of PRBSs that varied amplitude of switching current generated in the ICs and also changes the strength of EMI. Correlation coefficients between the temporal variation of conducted EMI strength and PRBS were examined. Results showed that PRBS has a potential to identify dominant noise sources of EMI.",

author = "Chiaki Ishida and Kengo Iokibe and Yoshitaka Toyota",

year = "2017",

month = jul,

day = "25",

doi = "10.1109/ICCE-China.2017.7991087",

language = "English",

pages = "245--246",

booktitle = "2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 ; Conference date: 12-06-2017 Through 14-06-2017",

}

TY - GEN

T1 - Application of PRBS for dominant source identification electromagnetic interference caused by digital integrated circuits

AU - Ishida, Chiaki

AU - Iokibe, Kengo

AU - Toyota, Yoshitaka

PY - 2017/7/25

Y1 - 2017/7/25

N2 - Pseudo-random binary sequence (PRBS) was applied to identify dominant noise sources of electromagnetic interference (EMI) radiated from a printed circuit board (PCB) including line driver ICs. The ICs were controlled in activation of output according to a set of PRBSs that varied amplitude of switching current generated in the ICs and also changes the strength of EMI. Correlation coefficients between the temporal variation of conducted EMI strength and PRBS were examined. Results showed that PRBS has a potential to identify dominant noise sources of EMI.

AB - Pseudo-random binary sequence (PRBS) was applied to identify dominant noise sources of electromagnetic interference (EMI) radiated from a printed circuit board (PCB) including line driver ICs. The ICs were controlled in activation of output according to a set of PRBSs that varied amplitude of switching current generated in the ICs and also changes the strength of EMI. Correlation coefficients between the temporal variation of conducted EMI strength and PRBS were examined. Results showed that PRBS has a potential to identify dominant noise sources of EMI.

UR - http://www.scopus.com/inward/record.url?scp=85028502589&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028502589&partnerID=8YFLogxK

U2 - 10.1109/ICCE-China.2017.7991087

DO - 10.1109/ICCE-China.2017.7991087

M3 - Conference contribution

AN - SCOPUS:85028502589

SP - 245

EP - 246

BT - 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Y2 - 12 June 2017 through 14 June 2017

ER -