Unscented Kalman Filter with Joint Decision Scheme for Phase Estimation in Probabilistically Shaped QAM Systems

Yuan Gao; Zhipei Li; Dong Guo; Ze Dong; Lei Zhu; Huan Chang; Sitong Zhou; Yongjun Wang; Qinghua Tian; Feng Tian; Leijing Yang

doi:10.3390/electronics12194075

Unscented Kalman Filter with Joint Decision Scheme for Phase Estimation in Probabilistically Shaped QAM Systems

Yuan Gao, Zhipei Li^*, Dong Guo, Ze Dong, Lei Zhu, Huan Chang, Sitong Zhou, Yongjun Wang, Qinghua Tian, Feng Tian, Leijing Yang

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

A carrier phase estimation method based on the unscented Kalman filter (UKF) is proposed for probabilistically shaped (PS) quadrature amplitude modulation (QAM) systems. We further integrate a joint decision scheme into the proposed UKF−based algorithm to prevent the correlated erroneous decisions in the phase recovery scheme caused by the impact of PS. The proposed method achieves the performance benefit for PS constellations in optical transmissions by partitioning the constellation symbols suitably and utilizing both the maximum a posterior probability (MAP) and maximum likelihood (ML) detection. The results of numerical simulation and experimental verification reveal that the proposed method performs better than the conventional CPR algorithms in PS systems.

Original language	English
Article number	4075
Journal	Electronics (Switzerland)
Volume	12
Issue number	19
DOIs	https://doi.org/10.3390/electronics12194075
Publication status	Published - Oct 2023

Keywords

MAP detection
carrier phase recovery
coherent optical communications
probabilistic shaping
unscented Kalman filter

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10.3390/electronics12194075

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title = "Unscented Kalman Filter with Joint Decision Scheme for Phase Estimation in Probabilistically Shaped QAM Systems",

abstract = "A carrier phase estimation method based on the unscented Kalman filter (UKF) is proposed for probabilistically shaped (PS) quadrature amplitude modulation (QAM) systems. We further integrate a joint decision scheme into the proposed UKF−based algorithm to prevent the correlated erroneous decisions in the phase recovery scheme caused by the impact of PS. The proposed method achieves the performance benefit for PS constellations in optical transmissions by partitioning the constellation symbols suitably and utilizing both the maximum a posterior probability (MAP) and maximum likelihood (ML) detection. The results of numerical simulation and experimental verification reveal that the proposed method performs better than the conventional CPR algorithms in PS systems.",

keywords = "MAP detection, carrier phase recovery, coherent optical communications, probabilistic shaping, unscented Kalman filter",

author = "Yuan Gao and Zhipei Li and Dong Guo and Ze Dong and Lei Zhu and Huan Chang and Sitong Zhou and Yongjun Wang and Qinghua Tian and Feng Tian and Leijing Yang",

note = "Publisher Copyright: {\textcopyright} 2023 by the authors.",

year = "2023",

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doi = "10.3390/electronics12194075",

language = "English",

volume = "12",

journal = "Electronics (Switzerland)",

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TY - JOUR

T1 - Unscented Kalman Filter with Joint Decision Scheme for Phase Estimation in Probabilistically Shaped QAM Systems

AU - Gao, Yuan

AU - Li, Zhipei

AU - Guo, Dong

AU - Dong, Ze

AU - Zhu, Lei

AU - Chang, Huan

AU - Zhou, Sitong

AU - Wang, Yongjun

AU - Tian, Qinghua

AU - Tian, Feng

AU - Yang, Leijing

PY - 2023/10

Y1 - 2023/10

N2 - A carrier phase estimation method based on the unscented Kalman filter (UKF) is proposed for probabilistically shaped (PS) quadrature amplitude modulation (QAM) systems. We further integrate a joint decision scheme into the proposed UKF−based algorithm to prevent the correlated erroneous decisions in the phase recovery scheme caused by the impact of PS. The proposed method achieves the performance benefit for PS constellations in optical transmissions by partitioning the constellation symbols suitably and utilizing both the maximum a posterior probability (MAP) and maximum likelihood (ML) detection. The results of numerical simulation and experimental verification reveal that the proposed method performs better than the conventional CPR algorithms in PS systems.

AB - A carrier phase estimation method based on the unscented Kalman filter (UKF) is proposed for probabilistically shaped (PS) quadrature amplitude modulation (QAM) systems. We further integrate a joint decision scheme into the proposed UKF−based algorithm to prevent the correlated erroneous decisions in the phase recovery scheme caused by the impact of PS. The proposed method achieves the performance benefit for PS constellations in optical transmissions by partitioning the constellation symbols suitably and utilizing both the maximum a posterior probability (MAP) and maximum likelihood (ML) detection. The results of numerical simulation and experimental verification reveal that the proposed method performs better than the conventional CPR algorithms in PS systems.

KW - MAP detection

KW - carrier phase recovery

KW - coherent optical communications

KW - probabilistic shaping

KW - unscented Kalman filter

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U2 - 10.3390/electronics12194075

DO - 10.3390/electronics12194075

M3 - Article

AN - SCOPUS:85173875310

SN - 2079-9292

VL - 12

JO - Electronics (Switzerland)

JF - Electronics (Switzerland)

IS - 19

M1 - 4075

ER -

Unscented Kalman Filter with Joint Decision Scheme for Phase Estimation in Probabilistically Shaped QAM Systems

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Keywords

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