光学学报, 2018, 38 (9): 0906004, 网络出版: 2019-05-09   

基于线型卡尔曼滤波器的双偏振并行载波相位恢复算法 下载: 1102次

Dual-Polarization Paralleled Carrier Phase Recovery Algorithm Based on Linear Kalman Filter
作者单位
西南交通大学信息光子与通信研究中心, 四川 成都 610031
摘要
针对偏振复用16阶正交幅度调制(16QAM)传输系统(PDM-16QAM),基于线型卡尔曼滤波器,提出了一种计算复杂度更低、线宽容忍度更高的双偏振并行载波相位恢复算法,使用两个偏振态内环和外环的符号信息对两个偏振态同时进行相位噪声估计。仿真结果表明,在传输速率为224 Gb/s传输速率下,本文算法相比于单偏振卡尔曼滤波器算法的线宽容忍度提高了7倍,由原来的400 kHz提高至2800 kHz。此外,相比于单偏振卡尔曼滤波器载波相位恢复算法,本文算法并行处理符号个数提升了4倍左右,有效提高了算法的实时性,但是复杂度有所降低。最后,在传输速率为224 Gb/s的PDM-16QAM传输实验中对本文算法进行了验证。
Abstract
A dual-polarization paralleled carrier phase recovery algorithm with better linewidth tolerance and lower computational complexity is presented for polarization division multiplexing and 16-order quadrature amplitude modulation (PDM-16QAM) system based on linear Kalman filter (LKF). The symbols in first and third rings of two polarizations are used to perform phase noise estimation. The simulation results for PDM-16QAM system with the transmission rate of 224 Gb/s demonstrate that the linewidth tolerance of dual-polarization LKF is about seven times of that of single-polarization LKF. The linewidth tolerance is improved to 2800 kHz from 400 kHz. The dual-polarization LKF processes about four times symbols in one block than single-polarization LKF, which reduces the algorithm computational complexity and enhances the real-time performance. Finally, the proposed algorithm is verified in the transmission experiment of PDM-16QAM system with the transmission rate of 224 Gb/s.

代亮亮, 闫连山, 易安林, 盘艳, 蒋林, 葛军, 潘炜, 罗斌. 基于线型卡尔曼滤波器的双偏振并行载波相位恢复算法[J]. 光学学报, 2018, 38(9): 0906004. Liangliang Dai, Lianshan Yan, Anlin Yi, Yan Pan, Lin Jiang, Jun Ge, Wei Pan, Bin Luo. Dual-Polarization Paralleled Carrier Phase Recovery Algorithm Based on Linear Kalman Filter[J]. Acta Optica Sinica, 2018, 38(9): 0906004.

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