Novel Mathematical Model of Voltage Waveform Prediction for High-Speed PRBS Signal Transmission

Of specific interest in this current work, high-speed signal waveforms were evaluated and analyzed through novel mathematical modeling in time domain. Using complete math equations with accurate amplitude and phase information, the intrinsic property and transmission characteristic of a specific pseudo random binary sequence (PRBS) were further studied and presented quantitatively, where unipolar and bipolar signals at different bit rates were simultaneously considered in-depth. Transmission investigations of high-speed interconnects under pristine and degraded conditions were both conducted, and predictions of the mathematical model were all verified by circuit simulations and measurements. In addition, the corresponding eye diagram parameters were obtained and compared based on the voltage waveforms, providing a further validation of the proposed mathematical interconnect modeling method.

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Publication Details

Journal
IEEE Signal Processing Letters
Published
2024-12-18
DOI
https://doi.org/10.1109/lsp.2024.3520006
Citations
1
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.33
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article

Novel Mathematical Model of Voltage Waveform Prediction for High-Speed PRBS Signal Transmission

Kaixuan Song, Zhijiao Chen, Wenjia Wang, Chaoyi Wang et al.
1 citations
IEEE Signal Processing Letters
Advanced Algorithms and Applications
0.33
article

Novel Mathematical Model of Voltage Waveform Prediction for High-Speed PRBS Signal Transmission

Kaixuan Song, Zhijiao Chen, Wenjia Wang, Chaoyi Wang, Jinchun Gao
article en
1 citations

Abstract

Of specific interest in this current work, high-speed signal waveforms were evaluated and analyzed through novel mathematical modeling in time domain. Using complete math equations with accurate amplitude and phase information, the intrinsic property and transmission characteristic of a specific pseudo random binary sequence (PRBS) were further studied and presented quantitatively, where unipolar and bipolar signals at different bit rates were simultaneously considered in-depth. Transmission investigations of high-speed interconnects under pristine and degraded conditions were both conducted, and predictions of the mathematical model were all verified by circuit simulations and measurements. In addition, the corresponding eye diagram parameters were obtained and compared based on the voltage waveforms, providing a further validation of the proposed mathematical interconnect modeling method.

IEEE Signal Processing LettersVol. 32
Beijing University of Posts and Telecommunications (CN)
Affordable and clean energy
Openalex Percentile: Top 38%
Advanced Algorithms and Applications
0.33
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Novel Mathematical Model of Voltage Waveform Prediction for High-Speed PRBS Signal Transmission — Kaixuan Song, Zhijiao Chen, et al. · IEEE Signal Processing Letters (2024) | TGRS Research Map | TGRS