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该论文提出了一种系数误差鲁棒的前馈均衡发射机(B-FFE TX),用于大规模并行链路,通过利用信道损耗抑制由系数误差引起的眼图扰动,无需校准即可实现230%的眼图变化改善。解决了纳米工艺下校准开销大的问题。
(FFE) transmitter (TX) for massively parallel links. Recently, massively parallel links such as on-chip links [1-3], silicon interposers [4,5], or wide I/Os [6] are gaining popularity to meet increasing demand for data transmission with a limited power budget. However, calibration overhead for thousands I/Os to compensate coefficient errors due to nano-scale variation has a high hardware cost. To reduce this overhead, we develop a coefficient-error-robust FFE (B-FFE) TX architecture that uses the channel loss to suppress eye perturbation due to coefficient errors while behaving identically to a conventional FFE. Without coefficient errors, a B-FFE TX can be designed identical to any FFE TX. Figure 2.7.1 depicts the architectures of the B-FFE and a conventional FFE. A BFFE TX contains a digital transition-detection (TD) fi
Seungho Han, Sooeun Lee, Minsoo Choi, Jae-Yoon Sim,
Hong-June Park, Byungsub Kim Pohang University of Science and Technology, Pohang, Korea This paper presents a 4-tap coefficient-error-robust feed-forward equalization