A Hybrid Methodology for Jitter and Eye Estimation in High-Speed Serial Channels Using Polynomial Chaos Surrogate Models

IEEE Access

Madhavan Swaminathan¹  Majid Ahadi Dolatsara¹  Jose Ale Hejase²  Wiren Dale Becker³ 

[1] Center for Co-Design of Chip, Package, System (C3PS), School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA;IBM, Austin, TX, USA;IBM, Poughkeepsie, NY, USA;

关键词: Signal integrity;    eye diagram;    jitter;    high-speed channel;    machine learning;    polynomial chaos;   

DOI  :  10.1109/ACCESS.2019.2908799

来源: DOAJ

【 摘 要 】

Estimation of jitter and eye diagram in high-speed serial channels can be challenging. The existing methods might fail to show inter-symbol interference (ISI) and data dependent jitter because they are either excessively time consuming or only applicable to linear time-invariant (LTI) systems. Therefore, this paper suggests a hybrid methodology to develop surrogate models of the system from a short transient simulation and using them to efficiently determine the eye diagram and related parameters. This paper is based on uncertainty quantification techniques that use polynomial chaos (PC) expansions to estimate the output. Necessary modifications are applied to PC modeling to make it applicable to high-speed channels. Finally, the performance of the proposed approach is shown through numerical examples.

【 授权许可】

Unknown