Equalization Optimization for SerDes Channels with Constrained Bayesian Optimization
2022 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI)(2022)
摘要
Assigning parameters of a feed-forward equalizer (FFE) can be a challenging and time-consuming task. In this work we introduce a machine learning algorithm to automatically optimize these parameters without the need to a domain expert. Conventional optimizers are not applicable to this problem because of a constraint over the FFE parameters. Therefore, we reformulate the problem and propose a modified Bayesian optimization algorithm to take this constraint into account. The proposed approach is validated with an example.
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关键词
serdes channels,optimization
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