Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > ACPC > 2021 > M5H > M5H.6

A Ditherless Bias Control Technique for IQ Mach-Zehnder Modulator Based on Partial Derivative and Neural Network

Jinyang Wu, Jiaqi Huang, Xiaoxiao Dai, Qi Yang, Mengfan Cheng, Lei Deng, and Deming Liu

Not Accessible

Your library or personal account may give you access

Abstract

We proposed a ditherless automatic bias control algorithm based on partial derivative estimation and neural network. Simulation results show the precision for bias IQ and P can achieve 0.5% and 0.1% of 21Vπ respectively.

© 2021 The Author(s)

PDF Article
More Like This
Neural Network Assisted Ditherless Bias Control for Optical IQ Modulator Using Relative Detection

Jinyang Wu, Jiaqi Huang, Shenmao Zhang, Zhuo Chen, Xueyuan Ao, Xiaoxiao Dai, Qi Yang, Mengfan Cheng, Lei Deng, and Deming Liu
SW4E.6 CLEO: Science and Innovations (CLEO:S&I) 2022

Flexible Bias Control for a Mach-Zehnder Modulator Based on a Two-Layer Neural Network Algorithm

Hongxin Pang, Qingming Zhu, Shaohua An, Jingchi Li, and Yikai Su
M4A.14 Asia Communications and Photonics Conference (ACP) 2019

Kalman filter-based Auto Bias Controller (KF-ABC) for IQ Modulator

Wenpeng Gao, Guangping Ge, Lei Yang, Dongxu Lu, Jiahao Huo, and Xian Zhou
W4B.1 Optoelectronics and Communications Conference (OECC) 2021

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use