TY - GEN
T1 - Enhanced Optical IMDD Communication Through Real-Time Sensing of MZM Bias Drift
AU - Sun, Lin
AU - Cai, Yi
AU - Zhang, Junwei
AU - Shen, Gangxiang
AU - Lu, Chao
AU - Liu, Gordon Ning
N1 - Funding Information:
This work is financially supported by National Key R&D Program of China under grant 2018YFB1801701, and National Natural Science Foundation (NSFC) of China under Grants 62105273.
Publisher Copyright:
© 2022 IEICE.
PY - 2022/8
Y1 - 2022/8
N2 - Real-time sensing of MZM bias drift in an optical IMDD channel is realized by linear optical sampling and machine-learning clustering. Adaptive decoding of signals outperforms the conventional method especially when channel is time variant.
AB - Real-time sensing of MZM bias drift in an optical IMDD channel is realized by linear optical sampling and machine-learning clustering. Adaptive decoding of signals outperforms the conventional method especially when channel is time variant.
KW - optical fiber transmission
KW - optical sensors
KW - Optical signal processing
UR - http://www.scopus.com/inward/record.url?scp=85136947665&partnerID=8YFLogxK
U2 - 10.23919/OECC/PSC53152.2022.9850183
DO - 10.23919/OECC/PSC53152.2022.9850183
M3 - Conference article published in proceeding or book
AN - SCOPUS:85136947665
T3 - OECC/PSC 2022 - 27th OptoElectronics and Communications Conference/International Conference on Photonics in Switching and Computing 2022
SP - 1
EP - 3
BT - OECC/PSC 2022 - 27th OptoElectronics and Communications Conference/International Conference on Photonics in Switching and Computing 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th OptoElectronics and Communications Conference/International Conference on Photonics in Switching and Computing, OECC/PSC 2022
Y2 - 3 July 2022 through 6 July 2022
ER -