Eye prediction of digital driver with power distribution network noise

Chiu Chih Chou, Hao Hsiang Chuang, Tzong Lin Wu, Shih Hung Weng, Chung Kuan Cheng

研究成果: 書貢獻/報告類型會議論文篇章同行評審

10 引文 斯高帕斯(Scopus)

摘要

Algorithms featuring fast and accurate estimation of worst-case eye diagram have been proposed to replace the time-consuming random bit simulation in channel design. However, when the interaction between nonlinear I/O circuits and power distribution network (PDN) noise is included, most of those approaches fail to maintain accuracy. Based on the superposition of multiple bit pattern responses (SMBP) concept, Ren and Oh [1] developed an algorithm to fast predict the eye diagram that theoretically captures any nonlinearity in the circuit. In this paper, a test circuit with PDN was constructed to examine the performance of this algorithm. The experiment results show good agreement with the results simulated by long PRBS in HSPICE.

原文???core.languages.en_GB???
主出版物標題2012 IEEE 21st Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2012
頁面131-134
頁數4
DOIs
出版狀態已出版 - 2012
事件2012 IEEE 21st Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2012 - Tempe, AZ, United States
持續時間: 21 10月 201224 10月 2012

出版系列

名字2012 IEEE 21st Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2012

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???2012 IEEE 21st Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2012
國家/地區United States
城市Tempe, AZ
期間21/10/1224/10/12

指紋

深入研究「Eye prediction of digital driver with power distribution network noise」主題。共同形成了獨特的指紋。

引用此