Ultra-Wideband Schiffman Phase Shifter Designed with Deep Neural Networks
preprintposted 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.
This work is supported in part by the ONR.
Email Address of Submitting Authorssan@mit.edu
ORCID of Submitting Author0000-0003-4098-916X
Submitting Author's InstitutionMassachusetts Institute of Technology
Submitting Author's Country