Dr. Zhipei Li Profile

Dr. Zhipei Li

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Proceedings Article | 5 December 2024 Paper

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

Proceedings Volume 13418, 134181Y (2024) https://doi.org/10.1117/12.3048518

KEYWORDS: Principal component analysis, Phase recovery, Optical coherence, Optical transmission, Digital signal processing

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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.

Proceedings Article | 29 December 2023 Paper

Hybrid structure nested anti-resonant nodeless hollow-core fiber

Li Li, Zhipei Li, Ran Gao, Shuaihang Wang, Feng Tian, Qi Zhang

Proceedings Volume 12975, 129750A (2023) https://doi.org/10.1117/12.3014682

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We propose a hybrid structure nested anti-resonant nodeless hollow-core fiber (HS-NANF) that possesses ultra-low Confinement Loss (CL) and excellent single-mode characteristics. By optimizing all key parameters through data analysis, we have achieved a CL of less than 0.01 dB/km in the 920 nm to 1600 nm wavelength range, and the minimum value of CL is 0.00063dB/km at 1550 nm. Additionally, the loss ratio of high-order modes to fundamental modes (HOMER) in the 800nm wide band of HS-NANF is much greater than 1000, and the HOMER is 11609 at 1550 nm, reaching a maximum value of 177276 at 920 nm. This means that HS-NANF can ensure excellent single-mode transmission in the ultra-wide band. In addition, HS-NANF also has good bending characteristics. When the bending radius is 6 cm, the loss introduced by bending is close to 0.01 dB/km, and when the bending radius is greater than 10 cm, the loss introduced by bending can be ignored. These excellent characteristics make HS-NANF an ideal transmission medium for low-latency broadband communication systems that rely on hollow-core fiber technology.

Proceedings Article | 24 November 2023 Paper

Data reduction adaptive digital back propagation algorithm

Jinkun Jiang, Qi Zhang, Xiangjun Xin, Fu Wang, Zhipei Li, Feng Tian, Qinghua Tian, Yongjun Wang, Leijing Yang

Proceedings Volume 12935, 129354W (2023) https://doi.org/10.1117/12.3008126

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With the application of various advanced technologies, the record of transmission reach in optical fiber communication has been continuously improved. In long-haul systems, in order to provide a higher power budget, the transmit power is increased, resulting in more severe nonlinear effects. However, the digital back propagation (DBP) algorithm, as a commonly used nonlinear impairment compensation method, requires accurate channel parameters when performing compensation, which is impossible in practical applications. To solve this problem, an adaptive DBP (ADBP) method based on data reduction is proposed in this paper, which is called data reduction ADBP (DR-ADBP). In DR-ADBP, instead of using all the received samples, a block with a certain length of them is selected and then applied to the adaptive algorithm to reduce the overall complexity. After the accurate parameters are searched by the adaptive algorithm, the DBP operation for all samples is performed then to compensate for the impairment. The proposal of the adaptive algorithm is under the guidance of the analysis of the nonlinear impairment and the adaptive cost function, which is more in line with the characteristics of the optical fiber channel. The proposed method is verified in a coherent optical communication system. The results show that under different initialization nonlinear scale factors, the convergence of nonlinear coefficients can be achieved by DR-ADBP with fewer iterations, and the required running time is much lower than that of the previous ADBP.

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