TY - GEN
T1 - A 5.8Gb/s adaptive integrating duobinary-based DFE receiver for multi-drop memory interface
AU - Lim, Hyun Wook
AU - Choi, Sung Won
AU - Lee, Sang Kyu
AU - Baek, Chang Hoon
AU - Lee, Jae Youl
AU - Hwang, Gyoo Cheol
AU - Kong, Bai Sun
AU - Jun, Young Hyun
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/3/17
Y1 - 2015/3/17
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84940739822
U2 - 10.1109/ISSCC.2015.7062986
DO - 10.1109/ISSCC.2015.7062986
M3 - Conference contribution
AN - SCOPUS:84940739822
T3 - Digest of Technical Papers - IEEE International Solid-State Circuits Conference
SP - 182
EP - 183
BT - 2015 IEEE International Solid-State Circuits Conference, ISSCC 2015 - Digest of Technical Papers
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 62nd IEEE International Solid-State Circuits Conference, ISSCC 2015 - Digest of Technical Papers
Y2 - 22 February 2015 through 26 February 2015
ER -