Waveform learning based on a genetic algorithm and its application to signal integrity improvement

Yasunaga, Masahiro; Yoshihara, Ikuo

doi:10.1109/iscmi.2017.8279615

2017 IEEE 4th International Conference on Soft Computing &Amp; Machine Intelligence (ISCMI) 2017

DOI: 10.1109/iscmi.2017.8279615

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Waveform learning based on a genetic algorithm and its application to signal integrity improvement

Masahiro Yasunaga

Ikuo Yoshihara

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2020

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Optimal design scheme based on the segmental transmission line methodology for high-frequency interconnection in 3D micro/nano integration

Miao

2020

Nanotechnology and Precision Engineering

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With the continuous growth of signal frequency and package density, discontinuity of the high-frequency interconnection in 3D micro/nano integration becomes unavoidable, which results in serious signal integrity problems. Traditional interconnection design schemes, such as termination and shielding/isolation, cannot meet the requirements under the unified constraints of specific cost, space occupancy, and performance. In this study, a transmission line design optimization scheme based on the segmental transmission line (STL) methodology is proposed. The genetic algorithm is used to select the optimal segment structure parameters of the transmission line to construct an STL with satisfying transmission performance or meet the specific signal amplitude adjustment requirements. This scheme can be adapted to various signal transmission scenarios to significantly improve the signal loss caused by reflection or other negative electromagnetic factors and meet the requirements for the modeling of discontinuous transmission lines. The simulation results show that this scheme is effective in the design scenario of performance improvement or equivalent modeling of discontinuous transmission lines and has significant advantages in circuit area reduction.

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Optimal design scheme based on the segmental transmission line methodology for high-frequency interconnection in 3D micro/nano integration

Miao

2020

Nanotechnology and Precision Engineering

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show abstract

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Waveform learning based on a genetic algorithm and its application to signal integrity improvement

Cited by 1 publication

References 4 publications

Optimal design scheme based on the segmental transmission line methodology for high-frequency interconnection in 3D micro/nano integration

Optimal design scheme based on the segmental transmission line methodology for high-frequency interconnection in 3D micro/nano integration

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