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An Effective Modulation Format Identification Based on Intensity Profile Features for Digital Coherent Receivers

机译:基于强度分布特征的数字相干接收机有效调制格式识别

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摘要

An effective and blind modulation format identification (MFI) scheme based on intensity profile features is proposed for digital coherent receivers of elastic optical networks. Here, different modulation format types present different profile features, which can be regarded as a classification metric. The proposed scheme requires no prior training and is independent of carrier phase noise or frequency offset. Besides, optical signal noise ratio (OSNR) values do not need to be pre-known in the identification process. In this paper, the first step of our scheme is to classify different classes based on different numbers of peak points, and then the second step is to apply height and width ratios between peak points to achieve the final identification process in each class. The feasibility is first demonstrated via numerical simulations in 28GBaud polarization division multiplexing (PDM)-quadrature phase shift keying (QPSK)/-8 quadrature amplitude modulation (QAM)/-16QAM/32QAM/-64 QAM systems. The results show that the lowest required OSNR values to achieve 100% recognition rate for all modulation formats signals are much lower than the corresponding theoretical7% forward error correction (FEC) limit (bit error ratio (BER) = 3.8 x 10(-3)). Furthermore, that of PDM-QPSK/-8QAM/16QAM/-signals are even lower than or close to 20% FEClimit (BER = 2.4 x 10(-2)). Subsequently, the performance is further verified by proof-of-concept experiments among 28GBaud PDM-QPSK/8QAM/-16QAM, and 21.5GBaud PDM-32QAM systems under back-to-back and long-distance links (from 400 km to 2000 km).
机译:针对弹性光网络的数字相干接收机,提出了一种基于强度分布特征的有效盲调制格式识别(MFI)方案。在此,不同的调制格式类型具有不同的配置文件特征,可以将其视为分类指标。所提出的方案不需要事先训练,并且独立于载波相位噪声或频率偏移。此外,在识别过程中不需要预先知道光信号噪声比(OSNR)值。在本文中,我们的方案的第一步是基于不同数量的峰点对不同的类别进行分类,然后第二步是应用峰点之间的高宽比来实现每个类别中的最终识别过程。该可行性首先通过在28GBaud极化分割多路复用(PDM)-正交相移键控(QPSK)/-8正交幅度调制(QAM)/-16QAM / 32QAM / -64 QAM系统中的数值模拟得到证明。结果表明,对于所有调制格式信号,要达到100%的识别率,所需的最低OSNR值都远低于相应的理论上的7%前向纠错(FEC)极限(误比特率(BER)= 3.8 x 10(-3) )。此外,PDM-QPSK / -8QAM / 16QAM /信号的信号甚至低于或接近20%FEClimit(BER = 2.4 x 10(-2))。随后,通过背靠背和长距离链路(从400 km至2000 km)在28GBaud PDM-QPSK / 8QAM / -16QAM和21.5GBaud PDM-32QAM系统之间进行的概念验证实验进一步验证了性能)。

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