Low complexity carrier phase recovery based on Kalman filter with principal component analysis for coherent optical transmission system

Qian Li; Zhipei Li; Fu Wang; Yuan Gao; Tonggang Zhao; Qi Zhang; Xiangjun Xin

doi:10.1117/12.3048518

5 December 2024 Low complexity carrier phase recovery based on Kalman filter with principal component analysis for coherent optical transmission system

Qian Li, Zhipei Li, Fu Wang, Yuan Gao, Tonggang Zhao, Qi Zhang, Xiangjun Xin

Author Affiliations +

Proceedings Volume 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024); 134181Y (2024) https://doi.org/10.1117/12.3048518
Event: 15th International Conference on Information Optics and Photonics (CIOP2024), 2024, Xi’an, China

Abstract

In this paper, we propose a novel carrier phase recovery scheme based on Kalman Filter with Principal Component Analysis (KF-PCA) for coherent optical transmission system, which is a low-complexity, Non-Data-Aided (NDA), feed-forward Carrier Phase Recovery (CPR) algorithm. The proposed algorithm enables synchronous demodulation of square Quadrature Amplitude Modulation (QAM) constellations, and it is suitable for a practical hardware implementation based on block-wise parallel processing. The proposed algorithm is employed to obtain an optimal estimate of carrier phase with minimum mean squared error by data fusion of the predicted results and the observed results obtained from principal component analysis in the corresponding squared constellation. We demonstrate different transmission distances of 500-1500km and different Optical Signal-to-Noise Ratios (OSNR) values of a dual-polarization 40GBaud 16- QAM signal with Root Raised Cosine (RRC) pulse shaping with a roll off factor of 0.02 by using the proposed algorithm in the offline Digital Signal Processing (DSP). Numerical simulation results show that the proposed phase recovery algorithm outperforms the Kalman Filter (KF) algorithm, showing much lower Bit Error Rate (BER) both numerically and experimentally. And it achieves similar BER performance compared with the well-known and widely used Blind Phase Search (BPS) algorithm. Additionally, the complexity of the proposed methods represents an effective computational complexity reduction against BPS.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qian Li, Zhipei Li, Fu Wang, Yuan Gao, Tonggang Zhao, Qi Zhang, and Xiangjun Xin "Low complexity carrier phase recovery based on Kalman filter with principal component analysis for coherent optical transmission system", Proc. SPIE 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024), 134181Y (5 December 2024); https://doi.org/10.1117/12.3048518

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