Jiang Xuedong, Hao Ming, Yan Lianshan, Jiang Lin, Xiong Xingzhong
Appl Opt. 2022 Jul 10;61(20):5991-5997. doi: 10.1364/AO.457463.
Modulation format identification (MFI) is a critical technology for autonomous digital coherent receivers in next-generation elastic optical networks. A novel and simple MFI scheme, to the best of our knowledge, based on signal envelope flatness is proposed without requiring any training or other prior information. After amplitude normalization and partition, the incoming polarization division multiplexed (PDM) signals can be classified into quadrature phase shift keying (QPSK), 8 quadrature amplitude modulation (QAM), 16QAM, and 64QAM signals according to envelope flatnesses , , and of signals in different amplitude ranges. The feasibility of the proposed MFI scheme is first verified via numerical simulations with 28 GBaud PDM-QPSK/-8QAM/-16QAM/-64QAM signals. Only by using 4000 symbols can the proposed MFI scheme achieve a 100% correct identification rate for the four modulation formats over a wide optical signal-to-noise ratio (OSNR) range. Proof-of-concept experiments among 28 GBaud PDM-QPSK/-8QAM/-16QAM systems under back-to-back and long-haul fiber transmission links are implemented to further demonstrate the effectiveness of the proposed MFI scheme. The experimental results show that the proposed MFI scheme can obtain a 100% correct identification rate when the OSNR value of each modulation format is higher than the threshold corresponding to 7% FEC and is resilient towards fiber nonlinearities. More importantly, the proposed MFI scheme can significantly reduce computational complexity.
调制格式识别(MFI)是下一代弹性光网络中自主数字相干接收机的一项关键技术。据我们所知,提出了一种新颖且简单的基于信号包络平坦度的MFI方案,无需任何训练或其他先验信息。经过幅度归一化和划分后,根据不同幅度范围内信号的包络平坦度、和,可将输入的偏振复用(PDM)信号分类为正交相移键控(QPSK)、8正交幅度调制(QAM)、16QAM和64QAM信号。首先通过对28 GBaud PDM-QPSK/-8QAM/-16QAM/-64QAM信号进行数值模拟,验证了所提MFI方案的可行性。在所提MFI方案中,仅使用4000个符号就能在较宽的光信噪比(OSNR)范围内实现对四种调制格式100%的正确识别率。在背对背和长距离光纤传输链路下,对28 GBaud PDM-QPSK/-8QAM/-16QAM系统进行了概念验证实验,以进一步证明所提MFI方案的有效性。实验结果表明,当每种调制格式的OSNR值高于对应7%前向纠错(FEC)的阈值时,所提MFI方案能获得100%的正确识别率,并且对光纤非线性具有抗性。更重要的是,所提MFI方案能显著降低计算复杂度。