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DC25_PAPAR_Track02_EffectiveContinuousTimeLinearEqualizer_LIU_V3.pdf

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1、 Effective Continuous Time Linear Equalizer Modeling using Dual-Transfer Functions Siqi Liu,Huawei Technologies Co.,Ltd L Tianyu Liang,Huawei Technologies Co.,Ltd Xusheng Liu,Huawei Technologies Co.,Ltd Honggang Tang,Huawei Technologies Co.,Ltd Wenquan Yang,Huawei Technologies Co.,Ltd Abstract The c

2、ontinuous time linear equalizer(CTLE)is a low-complexity and high-efficiency time-domain equalization technique,which is widely deployed in signal integrity(SI)design,including low-power double data rate memory,die-to-die interconnect and so on.However,CTLE modeling techniques can hardly achieve sat

3、isfactory accuracy since the amplification effects are nonlinear with respect to different voltage levels.Hence,they might lead to optimistic estimation for inter symbol interference(ISI)and pessimistic estimation for inter channel interference(ICI),and thus lead to various estimation bias in system

4、 design margin.This paper investigates a novel CTLE model using dual-transfer functions(DTF),which innovatively creates a weighted transfer function with two specific frequency-domain responses extracted from the reference and high/low voltage levels.The proposed method directly acts on both large a

5、nd small signal behaviors to simultaneously depress the over-amplification effects of both ISI and ICI.Results demonstrate that the proposed model achieves approximate amplification effects as compared to the golden circuit results.Author(s)Biography Siqi Liu is a Signal Integrity Engineer at Huawei

6、 Technologies.He has been working in signal integrity since 2023.He received BSEE,MSEE and PhD from Beijing University of Posts and Telecommunications,the University of Manchester,and Nanjing University,respectively.Tianyu Liang is currently a Principal Engineer at Huawei Technologies and interested

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1. **问题背景**:传统单传递函数(STF)CTLE模型因忽略电压非线性,导致符号间干扰(ISI)评估过于乐观,信道间干扰(ICI)评估过于悲观,影响系统设计余量。 2. **创新方法**:提出双传递函数(DTF)模型,结合参考电压和高/低电压的频率响应,加权平衡大/小信号放大效果,避免ISI/ICI评估偏差。 3. **核心数据**: - DDR5场景(5600Mbps)下,DTF模型眼高(398mV)与实测(402mV)误差仅1%,STF模型误差达22%(492mV)。 - 12.8Gbps测试中,DTF眼高/宽度误差均低于5%(实测255mV/43ps,仿真264mV/41ps)。 4. **优势**:DTF模型同时优化ISI和ICI,计算复杂度低,且可通过增加传递函数进一步提升精度。
**CTLE建模新方法?** **如何优化信号完整性?** **DTF算法优势何在?**
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