Yung-Shou Jeng, Wei-Da Guo, G. Shiue, Chien-Min Lin, R. Wu
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Reflectionless Design for Differential-Via Transitions Using Neural Network-Based Approach
Based on the concept of impedance matching, this paper presents a novel design method that can efficiently achieve the least reflection noise for differentia-via transitions. The relation between the effective via-impedance and the physical dimension is well approximated by a three-layer neural network. In use of the full-wave simulation, the time-domain reflectometry waveform is also acquired to confirm the accuracy of the proposed approach.
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