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首页> 外文期刊>Journal of Lightwave Technology >Blind Carrier Frequency Offset Estimation in Coherent Optical Communication Systems With Probabilistically Shaped M-QAM
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Blind Carrier Frequency Offset Estimation in Coherent Optical Communication Systems With Probabilistically Shaped M-QAM

机译:具有概率形状M-QAM的相干光通信系统中的盲载波频率偏移估计

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摘要

We find that the conventional 4th power and circular harmonic expansion (CHE) algorithms, which are originally devised for blind frequency offset estimation (FOE) in the uniform M-quadrature amplitude modulation (MQAM) systems, cannot work properly for probabilistically shaped (PS)-MQAM under moderate or strong shaping. To solve this issue, two novel blind FOE algorithms, namely the radius directed (RD)-4th power algorithm and the generalized circular harmonic expansion (GCHE) algorithm, are proposed. The former one adopts QPSK-selection based on a radius threshold optimized for a specific constellation entropy; while the later one conducts maximum likelihood (ML) estimation with a theoretically derived nonlinear radius transfer function in the GCHE. Several issues related to the practical implementation, including the optimization of the radius threshold in the RD-4th power algorithm, the impact of SNR-mismatch in the GCHE algorithm, and the computational complexities of the proposed algorithms, are analyzed. The Monte-Carlo simulation results show that: (1) the RD-4th power algorithm works properly in most of the cases except for very weak shaping, whereas the GCHE algorithm offers robust performance regardless of the shaping strength and outperforms the RD-4th power algorithm in all cases; (2) the performance gap between the two algorithms, which have the same computational complexity, enlarges for a larger constellation entropy. These observations indicate that the GCHE algorithm is a promising blind FOE algorithm, in terms of high estimation accuracy and robust performance, for applications that leverage the rate adaptability of the PS-MQAM, such as flexible optical networks.
机译:我们发现,传统的四次幂和圆谐波扩展(CHE)算法最初是为均匀M正交幅度调制(MQAM)系统中的盲频偏估计(FOE)设计的,但不适用于概率形状(PS)的算法-MQAM在中等或强塑形下。为了解决这个问题,提出了两种新颖的盲FOE算法,即半径定向(RD)-4次方功率算法和广义圆谐波展开(GCHE)算法。前者采用基于针对特定星座熵优化的半径阈值的QPSK选择;而后者则通过GCHE中的理论推导的非线性半径传递函数进行最大似然(ML)估计。分析了与实际实现相关的几个问题,包括RD-4次幂算法中半径阈值的优化,GCHE算法中SNR不匹配的影响以及所提出算法的计算复杂性。蒙特卡洛仿真结果表明:(1)除了非常弱的整形以外,RD-4th幂算法在大多数情况下均能正常工作,而无论整形强度如何,GCHE算法都具有鲁棒的性能,并且性能优于RD-4th幂在所有情况下的算法; (2)两种算法之间的性能差距(具有相同的计算复杂度)对于较大的星座熵而言会更大。这些观察结果表明,对于利用PS-MQAM的速率适应性的应用(例如灵活的光网络),就高估计精度和鲁棒性能而言,GCHE算法是一种很有前途的盲FOE算法。

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