H. Lim, Sung-Won Choi, Sang-Kyu Lee, Chang-Hoon Baek, Jae-Youl Lee, Gyoo-cheol Hwang, B. Kong, Young-Hyun Jun
{"title":"10.4 A 5.8Gb/s adaptive integrating duobinary-based DFE receiver for multi-drop memory interface","authors":"H. Lim, Sung-Won Choi, Sang-Kyu Lee, Chang-Hoon Baek, Jae-Youl Lee, Gyoo-cheol Hwang, B. Kong, Young-Hyun Jun","doi":"10.1109/ISSCC.2015.7062986","DOIUrl":null,"url":null,"abstract":"Emerging applications like cloud computing require high-speed low-latency access to high-volume data. In these applications, use of memory modules having multi-drop channels may be needed for time-efficient access to high-density memory data. A key design issue here is how to let interface transceivers not be affected by ISI and reflection noise generated by multi-drop channels having imperfect termination. The current-integrating decision-feedback equalizer (DFE) [1], which can cancel both high-frequency noise and post-cursor ISI simultaneously, has a limitation due to high gain-boosting and/or tap weight over-emphasis in equalizers to avoid eye closure caused by ISI-referred input pattern dependency. Duobinary signaling [2], which requires less boosting for equalizers by taking advantage of channel roll-off characteristic, is not effective in a multi-drop channel application because even a small timing or waveform variation due to high-frequency noise may cause degradation of the quality of duobinary signals. This work presents an integrating duobinary-based DFE receiver to avoid drawbacks described above and to increase the effective-data rate of multi-drop channels. A synergistic combination between the integrating equalizer and the duobinary signaling can provide advantages such as 1) lower gain-boosting for equalizers, 2) no need for precursor equalization, 3) ideally no input-pattern dependency during integration, 4) being more robust to high-frequency noise, 5) alleviated DFE critical timing, and 6) embedding DFE taps into duobinary circuits.","PeriodicalId":188403,"journal":{"name":"2015 IEEE International Solid-State Circuits Conference - (ISSCC) Digest of Technical Papers","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Solid-State Circuits Conference - (ISSCC) Digest of Technical Papers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCC.2015.7062986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Emerging applications like cloud computing require high-speed low-latency access to high-volume data. In these applications, use of memory modules having multi-drop channels may be needed for time-efficient access to high-density memory data. A key design issue here is how to let interface transceivers not be affected by ISI and reflection noise generated by multi-drop channels having imperfect termination. The current-integrating decision-feedback equalizer (DFE) [1], which can cancel both high-frequency noise and post-cursor ISI simultaneously, has a limitation due to high gain-boosting and/or tap weight over-emphasis in equalizers to avoid eye closure caused by ISI-referred input pattern dependency. Duobinary signaling [2], which requires less boosting for equalizers by taking advantage of channel roll-off characteristic, is not effective in a multi-drop channel application because even a small timing or waveform variation due to high-frequency noise may cause degradation of the quality of duobinary signals. This work presents an integrating duobinary-based DFE receiver to avoid drawbacks described above and to increase the effective-data rate of multi-drop channels. A synergistic combination between the integrating equalizer and the duobinary signaling can provide advantages such as 1) lower gain-boosting for equalizers, 2) no need for precursor equalization, 3) ideally no input-pattern dependency during integration, 4) being more robust to high-frequency noise, 5) alleviated DFE critical timing, and 6) embedding DFE taps into duobinary circuits.