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Effective High-Speed via Model Considering Equivalent High-Order-Mode Inductance
Chaofeng Li;Xiao-Ding Cai;Manish K. Mathew;Junyong Park;Mehdi Mousavi;Shameem Ahmed;Bidyut Sen;DongHyun Kim
A high-speed via model considering equivalent high-order-mode inductance for frequencies above 70 GHz is proposed in this article. The proposed via model, which considers the equivalent high-order-mode inductance, is a high-accuracy and high-bandwidth via model, improved from the previously proposed mode-decomposition-based equivalent via (MEV) model. The equivalent high-order-mode inductance is a...Show More
A Novel Machine-Learning-Based Batch Selection Method in Sparse Near-Field Scanning
Ling Zhang;Yu-Ru Feng;Bo Pu;Xiao-Ding Cai;Da Li;Xing-Chang Wei;Bhyrav Mutnury;Jun Fan;Hongsheng Chen;James L. Drewniak;Er-Ping Li
This article presents a novel and efficient batch data selection method based on active and unsupervised learning in real-time near-field scanning. The new approach shows a remarkable advantage over random sampling in reducing the number of scanning data samples and the total scanning time. Moreover, careful hyperparameter tuning is unnecessary, as the performance is insensitive to the hyperparame...Show More
A DNN-Ensemble Method for Error Reduction and Training Data Selection in DNN Based Modeling
Ling Zhang;Da Li;Jiayi He;Bhyrav Mutnury;Bo Pu;Xiao-Ding Cai;Chulsoon Hwang;Jun Fan;James Drewniak;Er-Ping Li
2022 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Deep neural networks (DNNs) have been widely adopted in modeling electromagnetic compatibility (EMC) problems, but the training data acquisition is usually time-consuming through various simulators. This paper presents a powerful approach using an ensemble of DNN s to effectively reduce the training data size in DNN-based modeling problems. A batch of training data with the largest uncertainties i...Show More
Novel Formulations of Multireflections and Their Applications to High-Speed Channel Design
Muqi Ouyang;Xiao-Ding Cai;Bo Pu;Qian Gao;Srinath Penugonda;Chaofeng Li;Bidyut Sen;Chulsoon Hwang;DongHyun Kim
Reflection theory has been long established for over decades targeted at microwave and radio frequency (RF) applications. With ultra-high-bandwidth applications emerging, such as 112 Gb/s and higher speed Ethernet protocols, discontinuities in high-speed channels negatively impact signal quality, where reflections become one of the most critical concerns in high-speed designs. In this article, for...Show More
Training Set Optimization in an Artificial Neural Network Constructed for High Bandwidth Interconnects Design
Bo Pu;Heegon Kim;Xiao-Ding Cai;Bidyut Sen;Chunchun Sui;Jun Fan
In this article, a novel training set optimization method in an artificial neural network (ANN) constructed for high bandwidth interconnects design is proposed based on rigorous probability analysis. In general, the accuracy of an ANN is enhanced by increasing training set size. However, generating large training sets is inevitably time-consuming and resource-demanding, and sometimes even impossib...Show More
Prepreg and Core Dielectric Permittivity (ϵr) Extraction for Fabricated Striplines’ Far-End Crosstalk Modeling
Shaohui Yong;Srinath Penugonda;DongHyun Kim;Victor Khilkevich;Bo Pu;Xiaoning Ye;Qian Gao;Xiao-Ding Cai;Bidyut Sen;Jun Fan
As the data rate and density of digital high-speed systems are getting higher, far-end crosstalk (FEXT) noise becomes one of the major issues that limit signal integrity performance. It was commonly believed that FEXT would be eliminated for striplines routed in a homogeneous dielectric, but in reality, FEXT can always be measured in striplines on the fabricated printed circuit boards. A slightly ...Show More
Dielectric Material and Foil Surface Roughness Properties Extraction Based on Single-ended Measurements and Phase Constant ($\beta$) Fitting
Shaohui Yong;Victor Khilkevich;Srinath Penugonda;Xiao-Ding Cai;Qian Gao;Bidyut Sen;Han Gao;Douglas Yanagawa;Darja Padilla;Scott Hinaga;James Drewniak;Jun Fan
2020 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI)
Year: 2020 | Conference Paper |
Cited by: Papers (7)
Dielectric substrate and foil surface roughness properties of fabricated printed circuit boards (PCB) are important for high-speed channel design. Several stripline-based extraction methods have been developed to characterize dielectric relative permittivity ( εr), dielectric dissipation factor ( tanδ), and foil surface roughness correction factor ( KR) using measured S-parameters. However, the ta...Show More
Dielectric Material and Foil Surface Roughness Properties Extraction Based on Single-ended Measurements and Phase Constant ($\beta$) Fitting
Shaohui Yong;Victor Khilkevich;Srinath Penugonda;Xiao-Ding Cai;Qian Gao;Bidyut Sen;Han Gao;Douglas Yanagawa;Darja Padilla;Scott Hinaga;James Drewniak;Jun Fan
Year: 2020 | Conference Paper |
Comprehensive and Practical Way to Look at Far-End Crosstalk for Transmission Lines With Lossy Conductor and Dielectric
Shaohui Yong;Victor Khilkevich;Xiao-Ding Cai;Chunchun Sui;Bidyut Sen;Jun Fan
Far-end crosstalk (FEXT) noise is one of the major issues that limits signal integrity performance for high-speed digital products. It is important to estimate the crosstalk noise accurately to avoid noise margin failure or overdesigned transmission lines. Traditionally, analytical formulas for crosstalk noise are based on lossless and perfect impedance match assumptions, which provide limited gui...Show More
Analytical Derivations of the TDR Expressions of Lossy Transmission Lines with the Other End Perfectly Matched
2019 12th International Workshop on the Electromagnetic Compatibility of Integrated Circuits (EMC Compo)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
This paper gives the analytical derivations of the TDR expressions of lossy transmission lines with the other end perfectly matched. The accuracies of the expressions are verified by two numerical examples. The derivations in this paper can reveal the physical meaning of the TDR and its properties very clearly. And with some more efforts based on our work, the expressions obtained can be used in r...Show More
Analytical Derivations of the TDR Expressions of Lossy Transmission Lines with the Other End Perfectly Matched
Year: 2019 | Conference Paper |
Equation-Based Solutions to Coupled, Asymmetrical, Lossy, and Nonuniform Microstrip Lines for Tab-Routing Applications
In this paper, analytical equation-based solutions are derived to allow quick and accurate calculations directly from the physical parameters of coupled, asymmetrical, lossy, and nonuniform microstrip lines with interdigital trapezoidal tabs incorporated, resulting in their corresponding scattering parameters. Capacitance and inductance matrices under a quasi-static condition are derived from the ...Show More
Impedance Perturbation Theory for Coupled Uniform Transmission Lines
Gen Yin;Xiao-Ding Cai;David Secker;Matt Ortiz;Julia Cline;Arun Vaidyanath
Taking the impedance mismatch of transmission lines as a small quantity, a novel impedance perturbation theory based on the lumped transmission line model is established for both the single-ended and coupled transmission lines. The propagation constant, S-parameters, and T-parameters can be directly constructed from an impedance perturbation factor. As an application example, a detailed perturbati...Show More
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