TY - GEN
T1 - Bayesian Filter-based Dynamic Joint Estimation of Carrier Frequency Offset and Linear Phase Noise for CO-OFDM Systems
AU - Liu, Shuai
AU - Du, Xinwei
AU - Kam, Pooi Yuen
AU - Yu, Changyuan
N1 - Funding Information:
The authors would like to gratefully acknowledge the financial support of UIC Start-up Research Fund R72021107, Grants 61971372 from NSFC, and HK RGC GRF 15200718.
Publisher Copyright:
© 2022 SPIE.
(PGMS checked: P0030384)
PY - 2022/4
Y1 - 2022/4
N2 - Coherent optical orthogonal frequency-division multiplexing (CO-OFDM) is a promising technique due to its high spectral efficiency and dispersion tolerance. However, CO-OFDM is sensitive to the carrier frequency offset (CFO) which is caused by the frequency difference between the transmitter laser and local oscillator, and linear phase noise (LPN) which is closely related to the laser linewidth. The existing of CFO and LPN can introduce the inter-carrier interference (ICI) and cause the rotation of constellations, thus degrade the system performance. In this paper, we propose to dynamically and jointly track and compensate the CFO and LPN by utilizing the Gaussian particle filter (GPF) and extended kalman filter (EKF). Firstly, the GPF and EKF can dynamically track the CFO and LPN in a real-time manner, thus can achieve accurate estimation result at even high phase noise variance. Secondly, GPF can successfully prevent the particle impoverishment (PI) problem of the conventional sequential importance resampling (SIR) PF, by recursively updating the mean and variance of the particles based on the weights computed from the posterior density and the designed importance sampling function. Thirdly, the joint estimation of CFO and LPN utilizes merely one OFDM symbol, which ensures the effective data transmission efficiency. Also, EKF can convert the nonlinear problem into linearity which helps to reduce the computation complexity. Simulations are carried out to verify the accuracy, robustness and efficiency of the proposed approach by considering the estimation error variance with the Cramér-Rao lower bound (CRLB), the convergence speed of the GPF and EKF, and the real-time dynamic tracking errors.
AB - Coherent optical orthogonal frequency-division multiplexing (CO-OFDM) is a promising technique due to its high spectral efficiency and dispersion tolerance. However, CO-OFDM is sensitive to the carrier frequency offset (CFO) which is caused by the frequency difference between the transmitter laser and local oscillator, and linear phase noise (LPN) which is closely related to the laser linewidth. The existing of CFO and LPN can introduce the inter-carrier interference (ICI) and cause the rotation of constellations, thus degrade the system performance. In this paper, we propose to dynamically and jointly track and compensate the CFO and LPN by utilizing the Gaussian particle filter (GPF) and extended kalman filter (EKF). Firstly, the GPF and EKF can dynamically track the CFO and LPN in a real-time manner, thus can achieve accurate estimation result at even high phase noise variance. Secondly, GPF can successfully prevent the particle impoverishment (PI) problem of the conventional sequential importance resampling (SIR) PF, by recursively updating the mean and variance of the particles based on the weights computed from the posterior density and the designed importance sampling function. Thirdly, the joint estimation of CFO and LPN utilizes merely one OFDM symbol, which ensures the effective data transmission efficiency. Also, EKF can convert the nonlinear problem into linearity which helps to reduce the computation complexity. Simulations are carried out to verify the accuracy, robustness and efficiency of the proposed approach by considering the estimation error variance with the Cramér-Rao lower bound (CRLB), the convergence speed of the GPF and EKF, and the real-time dynamic tracking errors.
KW - Bayesian filter
KW - carrier frequency offset
KW - CO-OFDM
KW - Cramér-Rao lower bound
KW - phase noise
UR - http://www.scopus.com/inward/record.url?scp=85137091744&partnerID=8YFLogxK
U2 - 10.1117/12.2616196
DO - 10.1117/12.2616196
M3 - Conference article published in proceeding or book
AN - SCOPUS:85137091744
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - 2021 International Conference on Optical Instruments and Technology
A2 - Chen, Jian
A2 - Dong, Yi
A2 - Pan, Shilong
A2 - Qiu, Yang
A2 - Bretenaker, Fabien
PB - SPIE
T2 - 2021 International Conference on Optical Instruments and Technology: Optical Communication and Optical Signal Processing
Y2 - 8 April 2022 through 10 April 2022
ER -