TY - GEN
T1 - H∞Filter-Based Joint RSOP and Phase Noise Tracking in Coherent PDM Systems
AU - Peng, Yawei
AU - Liu, Shuai
AU - Du, Xinwei
AU - Yu, Changyuan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/7
Y1 - 2023/7
N2 - In this paper, an H∞ filter-based approach is proposed for jointly tracking the rotation of state of polarization (RSOP) and laser phase noise (LPN). The H∞ filter dynamically and robustly estimates the high-dimensional states by limiting the worst-case estimation error, which exhibits excellent tolerance to the noise disturbances. Simulation results verify that the proposed H∞ filter outperforms the conventional extended Kalman filter (EKF) with respect to the tracking accuracy and the tolerance under ultra-fast RSOP.
AB - In this paper, an H∞ filter-based approach is proposed for jointly tracking the rotation of state of polarization (RSOP) and laser phase noise (LPN). The H∞ filter dynamically and robustly estimates the high-dimensional states by limiting the worst-case estimation error, which exhibits excellent tolerance to the noise disturbances. Simulation results verify that the proposed H∞ filter outperforms the conventional extended Kalman filter (EKF) with respect to the tracking accuracy and the tolerance under ultra-fast RSOP.
KW - H∞ filter
KW - laser phase noise
KW - rotation of state of polarization
UR - http://www.scopus.com/inward/record.url?scp=85170239665&partnerID=8YFLogxK
U2 - 10.1109/OECC56963.2023.10209947
DO - 10.1109/OECC56963.2023.10209947
M3 - Conference article published in proceeding or book
AN - SCOPUS:85170239665
T3 - 2023 Opto-Electronics and Communications Conference, OECC 2023
BT - 2023 Opto-Electronics and Communications Conference, OECC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 Opto-Electronics and Communications Conference, OECC 2023
Y2 - 2 July 2023 through 6 July 2023
ER -