Behavioral Modeling of Pre-emphasis Drivers Including Power Supply Noise Using Neural Networks

Huan Yu; Jaemin Shin; Tim Michalka; Mourad Larbi; Madhavan Swaminathan

doi:10.1109/LASCAS.2019.8667589

Behavioral Modeling of Pre-emphasis Drivers Including Power Supply Noise Using Neural Networks

Huan Yu, Jaemin Shin, Tim Michalka, Mourad Larbi, Madhavan Swaminathan

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

This paper addresses the nonlinear behavioral modeling of pre-emphasis drivers including power supply noise. The proposed multiple-port model relies on the use of power-Aware weighting functions that control the driver's output stage to model the pre-emphasis behavior with non-ideal power supply accurately. The weighting functions are implemented using feed-forward neural networks (FFNNs), and the dynamic memory characteristics of driver's ports are captured using recurrent neural networks (RNNs). Practical industrial driver example demonstrates that the proposed modeling method offers good accuracy, flexibility and significant simulation speed-up to facilitate signal integrity and power integrity analysis without compromising intellectual property (IP).

Original language	English (US)
Title of host publication	2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	37-40
Number of pages	4
ISBN (Electronic)	9781728104522
DOIs	https://doi.org/10.1109/LASCAS.2019.8667589
State	Published - Mar 14 2019
Event	10th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2019 - Armenia, Colombia Duration: Feb 24 2019 → Feb 27 2019

Publication series

Name	2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings

Conference

Conference	10th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2019
Country/Territory	Colombia
City	Armenia
Period	2/24/19 → 2/27/19

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Hardware and Architecture

Access to Document

10.1109/LASCAS.2019.8667589

Cite this

Yu, H., Shin, J., Michalka, T., Larbi, M., & Swaminathan, M. (2019). Behavioral Modeling of Pre-emphasis Drivers Including Power Supply Noise Using Neural Networks. In 2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings (pp. 37-40). Article 8667589 (2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LASCAS.2019.8667589

Yu, Huan ; Shin, Jaemin ; Michalka, Tim et al. / Behavioral Modeling of Pre-emphasis Drivers Including Power Supply Noise Using Neural Networks. 2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 37-40 (2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings).

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title = "Behavioral Modeling of Pre-emphasis Drivers Including Power Supply Noise Using Neural Networks",

abstract = "This paper addresses the nonlinear behavioral modeling of pre-emphasis drivers including power supply noise. The proposed multiple-port model relies on the use of power-Aware weighting functions that control the driver's output stage to model the pre-emphasis behavior with non-ideal power supply accurately. The weighting functions are implemented using feed-forward neural networks (FFNNs), and the dynamic memory characteristics of driver's ports are captured using recurrent neural networks (RNNs). Practical industrial driver example demonstrates that the proposed modeling method offers good accuracy, flexibility and significant simulation speed-up to facilitate signal integrity and power integrity analysis without compromising intellectual property (IP).",

author = "Huan Yu and Jaemin Shin and Tim Michalka and Mourad Larbi and Madhavan Swaminathan",

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series = "2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings",

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Yu, H, Shin, J, Michalka, T, Larbi, M & Swaminathan, M 2019, Behavioral Modeling of Pre-emphasis Drivers Including Power Supply Noise Using Neural Networks. in 2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings., 8667589, 2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 37-40, 10th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2019, Armenia, Colombia, 2/24/19. https://doi.org/10.1109/LASCAS.2019.8667589

Behavioral Modeling of Pre-emphasis Drivers Including Power Supply Noise Using Neural Networks. / Yu, Huan; Shin, Jaemin; Michalka, Tim et al.
2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 37-40 8667589 (2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - This paper addresses the nonlinear behavioral modeling of pre-emphasis drivers including power supply noise. The proposed multiple-port model relies on the use of power-Aware weighting functions that control the driver's output stage to model the pre-emphasis behavior with non-ideal power supply accurately. The weighting functions are implemented using feed-forward neural networks (FFNNs), and the dynamic memory characteristics of driver's ports are captured using recurrent neural networks (RNNs). Practical industrial driver example demonstrates that the proposed modeling method offers good accuracy, flexibility and significant simulation speed-up to facilitate signal integrity and power integrity analysis without compromising intellectual property (IP).

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Yu H, Shin J, Michalka T, Larbi M, Swaminathan M. Behavioral Modeling of Pre-emphasis Drivers Including Power Supply Noise Using Neural Networks. In 2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 37-40. 8667589. (2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings). doi: 10.1109/LASCAS.2019.8667589

Behavioral Modeling of Pre-emphasis Drivers Including Power Supply Noise Using Neural Networks

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