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PIER PIER B PIER C PIER M PIER Letters
2012-02-20
Estimation Method for Simultaneous Switching Noise in Power Delivery Network for High-Speed Digital System Design
By
Tong-Hao Ding,

    Dr. Tong-Hao Ding

    School of Electronic Engineering

    Xidian University

    China

    Homepage

Yu-Shan Li,

    Prof. Yu-Shan Li

    Xidian University

    China

    Homepage

Dong-Chu Jiang,

    Dr. Dong-Chu Jiang

    School of Electronic Engineering

    Xidian University

    China

    Homepage

Yong-Zhe Qu,

    Dr. Yong-Zhe Qu

    School of Electronic Engineering

    Xidian University

    China

    Homepage

Xu Yan

    Dr. Xu Yan

    School of Electronic Engineering

    Xidian University

    China

    Homepage

Progress In Electromagnetics Research, Vol. 125, 79-95, 2012
doi:10.2528/PIER12011202
Abstract
In this paper, a new method is proposed to estimate the simultaneous switching noise (SSN) directly from the power delivery network (PDN) frequency-domain impedance in order to reduce the time-domain simulation of SSN and computational burden, which is based on the periodic characteristics of the switching current and the SSN produced by one current pulse. The frequency-domain impedance is approximated with several single resonance circuits, which can capture the resonance characteristics of the PDN. The parameters of each resonance circuit are calculated with the rational function. It is also found that the SSN can be suppressed through adjusting the resonant frequencies and the period of switching current. Compared with the single resonance lumped circuit model and multi-resonance distributed circuit model, the performance of the new method for estimating the SSN is verified, which is more accurate than the target impedance method.
Citation
Tong-Hao Ding, Yu-Shan Li, Dong-Chu Jiang, Yong-Zhe Qu, and Xu Yan, "Estimation Method for Simultaneous Switching Noise in Power Delivery Network for High-Speed Digital System Design," Progress In Electromagnetics Research, Vol. 125, 79-95, 2012.
doi:10.2528/PIER12011202
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