Adaptive Blind Stokes-Space Based Equalizer for RSOP in SV-DD Systems With High Chromatic Dispersion Tolerance

Adaptive Blind Stokes-Space Based Equalizer for RSOP in SV-DD Systems With High Chromatic Dispersion Tolerance
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具有高色散容差的 SV-DD 系统中用于 RSOP 的自适应盲斯托克斯空间均衡器

DOI:
10.1109/jphot.2020.2979474
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发表时间:
2020-03
影响因子:
2.4
通讯作者:
Deng Lei
Deng Lei
中科院分区:
工程技术4区
文献类型:
--
作者:
Jin Yu;Li Di;Yi Pin;Cheng Mengfan;Fu Songnian;Tang Ming;Liu Deming;Deng Lei

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在Stokes矢量直接检测(SV-DD)系统中,偏振解复用变得非常困难,特别是当存在偏振态旋转(RSOP)和光纤色散(CD)时。为了解决这个问题,提出了一种基于Stokes空间的自适应盲RSOP均衡器。通过理论分析,发现传输信号在斯托克斯空间的分布保持抛物面状。在此基础上,首次提出了一种跟踪抛物面对称轴的自适应方案。值得注意的是,不仅CD,而且高阶调制格式不能改变抛物面分布。因此,该算法对CD具有较强的鲁棒性,对不同调制格式的SV-DD系统具有良好的适应性。在我们的模拟中,传统的斯托克斯空间为基础的方法和训练序列(TS)的方法都进行了评估比较。结果表明,在硬判决前向纠错门限下,该方案在28 Gbaud四电平正交幅度调制(4-QAM)和16-QAM SV-DD系统中,经过100 km光纤传输后,可分别跟踪20 Mrad/s和8 Mrad/s的RSOP。与传统的基于Stokes空间的方法相比,不需要额外的计算复杂度。此外,与基于TS的方法相比,不需要知道实际的信道信息,有助于良好的灵活性。
Polarization de-multiplexing becomes challenging in Stokes vector-direct detection (SV-DD) systems, especially when the rotation of state of polarization (RSOP) and fiber chromatic dispersion (CD) are induced. To address this issue, an adaptive blind RSOP equalizer based on Stokes space is proposed. After theoretical analysis, it is found that the distribution of transmitted signals in Stokes space keeps a paraboloid. Based on this analysis, an adaptive scheme is proposed to track the symmetry axis of paraboloid for the first time. It is worth noticing that not only CD but also high-order modulation formats could not change the paraboloid distribution. Therefore, our algorithm has strong robustness to CD and good suitability for SV-DD systems with different modulation formats. In our simulation, the conventional Stokes space-based method and the training sequences (TS) method are both evaluated for comparison. The results show that our scheme can track RSOP of 20 Mrad/s and 8 Mrad/s at hard-decision forward error correction threshold in 28 Gbaud 4-level quadrature amplitude modulation (4-QAM) and 16-QAM SV-DD systems after 100 km fiber transmission, respectively. No additional computational complexity is required compared to the conventional Stokes space-based method. Moreover, compared to the TS-based method, there is no need to know the actual channel information, contributing to good flexibility.
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