用于WDM系统非线性补偿的自适应Turbo均衡
Adaptive Turbo Equalization for Nonlinearity Compensation in WDM Systems
摘要：
本文研究了自适应Turbo均衡非线性补偿（NLC）的性能。提出了一种Turbo均衡方案，其中使用递归最小二乘（RLS）算法作为自适应信道估计器，跟踪与信道间非线性干扰（NLI）模型相关的时变符号间干扰（ISI）系数。估计的信道系数由MIMO 2x2软输入软输出（SISO）线性最小均方误差（LMMSE）均衡器用于补偿时变ISI。SISO LMMSE均衡器和SISO前向纠错（FEC）解码器在每次Turbo迭代中交换外部信息，允许接收器改善信道估计和均衡的性能，实现较低的比特错误率（BER）值。所提出的方案是针对偏振复用的64 QAM和256 QAM进行研究的，尽管它适用于任何适当的调制格式。广泛的数值结果。结果表明，该方案允许高达0.7 dB的额外增益，有效接收的信噪比（SNR）和高达0.2比特/符号/极化广义互信息（GMI），单通道数字反向传播提供的增益之上。
英文摘要：
In this paper, the performance of adaptive turbo equalization for nonlinearity compensation (NLC) is investigated. A turbo equalization scheme is proposed where a recursive least-squares (RLS) algorithm is used as an adaptive channel estimator to track the time-varying intersymbol interference (ISI) coefficients associated with inter-channel nonlinear interference (NLI) model. The estimated channel coefficients are used by a MIMO 2x2 soft-input soft-output (SISO) linear minimum mean square error (LMMSE) equalizer to compensate for the time-varying ISI. The SISO LMMSE equalizer and the SISO forward error correction (FEC) decoder exchange extrinsic information in every turbo iteration, allowing the receiver to improve the performance of the channel estimation and the equalization, achieving lower bit-error-rate (BER) values. The proposed scheme is investigated for polarization multiplexed 64QAM and 256QAM, although it applies to any proper modulation format. Extensive numerical results are presented. It is shown that the scheme allows up to 0.7 dB extra gain in effectively received signal-to-noise ratio (SNR) and up to 0.2 bits/symbol/pol in generalized mutual information (GMI), on top of the gain provided by single-channel digital backpropagation.
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