An on-chip stochastic sigma-tracking eye-opening monitor for BER-optimal adaptive equalization

Hyosup Won, Kwangseok Han, Sangeun Lee, Jinho Park, Hyeon-Min Bae
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引用次数: 2

Abstract

An on-chip stochastic sigma-tracking eye-opening monitor (SSEOM) for background adaptive equalization is presented. The proposed SSEOM detects the BER-related eye opening area accurately with a feasible degree of time/area efficiency without an external microcontroller. In addition, the SSEOM determines the BER-optimal equalization parameters for both CTLE and DFE by incorporating a pattern-dependent eye-tracking scheme. Auxiliary data samplers are employed in parallel with data samplers to track link variations and adjust the equalization parameters in the background. A 28-Gb/s CDR including a SSEOM-based adaptive equalizer is fabricated in 40nm CMOS for an evaluation.
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一种用于ber最优自适应均衡的片上随机sigma跟踪大眼监视器
提出了一种用于背景自适应均衡的片上随机西格玛跟踪开眼监测仪。所提出的SSEOM在没有外部微控制器的情况下,以可行的时间/面积效率精确地检测berr相关的睁眼面积。此外,SSEOM通过结合模式依赖的眼动追踪方案来确定CTLE和DFE的ber最优均衡参数。辅助数据采样器与数据采样器并行使用,跟踪链路变化并在后台调整均衡参数。采用40nm CMOS工艺制作了包含基于sseom的自适应均衡器的28gb /s CDR进行评估。
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