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Ultra-Wideband Schiffman Phase Shifter Designed with Deep Neural Networks

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posted on 2021-11-24, 13:07 authored by sensong ansensong an, Bowen Zheng, Hong Tang, Hang Li, Li Zhou, Yunxia Dong, Mohammad Haerinia, Hualiang Zhang

This manuscript contains 11 pages and 11 figures.


The datasets used during training and the deployed Schiffman phase shifter design tool is open source and available at: https://github.com/SensongAn/DNN-Schiffman-phase-shifter.

Funding

This work is supported in part by the ONR.

History

Email Address of Submitting Author

ssan@mit.edu

ORCID of Submitting Author

0000-0003-4098-916X

Submitting Author's Institution

Massachusetts Institute of Technology

Submitting Author's Country

China

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Keywords

Schiffmanwideband phase shifterdeep learningDeep Neural Networksinverse design

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CC BY 4.0

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