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DCON26_PAPER_Track12_AI-DrivenEmulationofPowerSupplyRippleviaHSSJitterAnalysisTIE-BasedSourceIsolationforPI_263_75.pdf

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1、 AI-Driven Emulation of Power Supply Ripple via HSS Jitter Analysis and TIE-Based Source Isolation for PI-SI Co-Design Niranjan Hegde,Tektronix Shubha B,Tektronix Srikrishna N.H.,Tektronix Abstract As high-speed digital systems advance into the gigahertz range,ensuring power and signal integrity bec

2、omes more difficult due to lower supply voltages and rapid switching.Power supply ripple can cause jitter,negatively affecting bit error rates.This paper presents a machine learning-based software method that analyzes Time Interval Error(TIE)spectra to emulate and isolate power supply induced jitter

3、(PSIJ).By mapping noise signatures,the technique enables engineers to link power rail fluctuations to signal quality,identify key jitter sources,and optimize decoupling early,minimizing costly design revisions and improving system robustness.Authors Biography Niranjan Hegde,Power Software Engineer w

4、orking with Tektronix,holds an M.Tech from BITS Pilani and a B.E.from RVCE.His professional expertise spans embedded systems,motor analysis,and wide bandgap(WBG)semiconductor analysis,with a strong focus on research-driven development in power electronics and system design.Shubha B is a Senior Produ

5、ct Manager at Tektronix with a background in electronics engineering and an MBA in marketing.She specializes in product strategies for semiconductor validation and workflows for WBG devices.With experience in both technical and market-facing roles,she brings a unique perspective to power electronics

6、 innovation.Srikrishna NH holds a BE from Bangalore University and an MS in Telecommunication and Software Engineering from Illinois Institute of Technology,Chicago.He has 22+years of industry experience and working with Tektronix as a Principal engineer focused on Power portfolio solutions.He has c

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1. **方法**:基于测量与信号处理,通过同时捕获电源轨噪声和信号TIE(时间间隔误差),进行频谱相关性分析,识别电源纹波引起的抖动(PSIJ)。 2. **核心数据**:案例显示,100kHz/50mV纹波导致30ps周期性抖动,滤波后抖动降至0ps,眼图显著改善(图2、4)。 3. **关键点**: - 定量关联电源噪声与抖动(如灵敏度0.6ps/mV),指导优化去耦电容或滤波器。 - 避免过度设计,例如将纹波从50mV降至17mV即可满足10ps抖动预算。 - 方法适用于高速接口(如DDR、SerDes),支持PI-SI协同设计,减少设计迭代成本。
电源纹波如何影响信号? 如何精准定位抖动源? AI如何优化电源设计?
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