TY - GEN
T1 - Maximum Likelihood Estimation of Polarization States in Coherent Optical Communications
AU - Liu, Shuai
AU - Du, Xinwei
AU - Yu, Changyuan
N1 - Funding Information:
ACKNOWLEDGMENT This work is supported in part by the Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, BNU-HKBU United International College (2022B1212010006), UIC start-up grant (R72021107), Guangdong Higher Education Upgrading Plan (2021-2025) (UIC R0400001-22), Guangdong College Enhancement and Innovation Program (UICR0400009-21), NSFC Grant 61971372, HK RGC GRF 15200718, and Zhuhai Basic and Applied Basic Research Foundation (ZH22017003210016 PWC).
Publisher Copyright:
© 2022 IEEE.
PY - 2022/11
Y1 - 2022/11
N2 - In this paper, a polarization state estimation algorithm in coherent optical communication systems is proposed based on the maximum likelihood (ML) method. Through the derivation, we obtain the analytical solutions of the polarization states and deduce the corresponding Cramér-Rao Lower Bounds (CRLBs). The proposed ML estimator not only can achieve the optimum estimation with merely 16 pilot symbols, but also shows great tolerance to the additive white Gaussian noise (AWGN) and linear phase noise (LPN). Simulation results verify the accuracy, efficiency and robustness of the proposed ML estimator.
AB - In this paper, a polarization state estimation algorithm in coherent optical communication systems is proposed based on the maximum likelihood (ML) method. Through the derivation, we obtain the analytical solutions of the polarization states and deduce the corresponding Cramér-Rao Lower Bounds (CRLBs). The proposed ML estimator not only can achieve the optimum estimation with merely 16 pilot symbols, but also shows great tolerance to the additive white Gaussian noise (AWGN) and linear phase noise (LPN). Simulation results verify the accuracy, efficiency and robustness of the proposed ML estimator.
KW - Jones Matrix
KW - Maximum Likelihood
KW - Polarization state
UR - http://www.scopus.com/inward/record.url?scp=85153879298&partnerID=8YFLogxK
U2 - 10.1109/ACP55869.2022.10088939
DO - 10.1109/ACP55869.2022.10088939
M3 - Conference article published in proceeding or book
AN - SCOPUS:85153879298
T3 - Asia Communications and Photonics Conference, ACP
SP - 607
EP - 609
BT - 2022 Asia Communications and Photonics Conference, ACP 2022 and International Conference on Information Photonics and Optical Communications, IPOC 2022
PB - Optica Publishing Group (formerly OSA)
T2 - 2022 Asia Communications and Photonics Conference, ACP 2022 and International Conference on Information Photonics and Optical Communications, IPOC 2022
Y2 - 5 November 2022 through 8 November 2022
ER -