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Lagrange interpolation based extended Kalman filter for phase noise suppression in CO-OFDM system

机译:基于LAGRANGE插值的CO-OFDM系统相位噪声抑制扩展卡尔曼滤波器

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摘要

In this paper, for the first time, a novel Lagrange interpolation (LRI) based extended Kalman filter (EKF) is proposed to compensate inter-carrier interference (ICI) in coherent optical orthogonal frequency division multiplexing (CO-OFDM) system. Owing to the features of Wiener distribution for laser phase noise, our proposed second-order or higher-order LRI is more suitable for phase fitting than sub-symbol block algorithm based on linear interpolation (LI-SCPEC). Furthermore, to compensate the common phase error (CPE), a modified iteration-free blind (MIFB) algorithm is also designed in this paper. Comparing with the existing common IFB scheme, our method avoids phase misjudgment. By combining the MIFB with the LRI scheme, the accuracy of phase noise estimation and spectrum utilization can be effectively improved. The results of Monte Carlo simulation prove that our proposed scheme is effective in phase noise suppression in CO-OFDM system
机译:本文首次提出了一种新颖的拉格朗日插值(LRI)扩展卡尔曼滤波器(EKF)以补偿相干光正交频分复用(CO-OFDM)系统中的载波间干扰(ICI)。 由于Wiener分布的激光相位噪声的特征,我们所提出的二阶或高阶LRI更适合于基于线性插值的子符号块算法(Li-SCPEC)的相位拟合。 此外,为了补偿公共相位误差(CPE),本文还设计了一种修改的迭代盲(MIFB)算法。 与现有的公共IFB方案相比,我们的方法避免了相位误判。 通过将MIFB与LRI方案组合,可以有效地改善相位噪声估计和频谱利用的准确性。 Monte Carlo仿真的结果证明我们所提出的方案在Co-OFDM系统中的相位噪声抑制中是有效的

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