On the Efficiency of Digital Back-Propagation for Mitigating SOA-Induced Nonlinear Impairments
On the Efficiency of Digital Back-Propagation for Mitigating SOA-Induced Nonlinear Impairments
复制标题
关于减轻 SOA 引起的非线性损伤的数字反向传播的效率
DOI：
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发表时间：
2011
影响因子：
4.7
通讯作者：
L. A. Rusch
中科院分区：
文献类型：
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作者：
A. Ghazisaeidi;L. A. Rusch
我们研究了两个数字反向传播方案的效率和数值精度后补偿SOA引起的非线性损伤的背景下，先进的调制格式的相干接收器。虽然经典的龙格-库塔数值技术提供了几乎理想的后补偿时，接收器的采样时间趋于零，这种精度迅速降低，因为我们接近现实的采样时间。在奈奎斯特附近的速率，尽管大大降低了复杂性，我们提出的数字滤波器反向传播技术优于龙格库塔技术的均方根（rms）的残留失真。随着采样时间的变化，我们对这两种方法的均方根残余失真进行了量化。我们还研究了16-QAM的误码性能，以及SOA饱和度的影响。我们研究不完美的信道估计的鲁棒性。
We study the efficiency and numerical accuracy of two digital backpropagation schemes for post-compensating SOA-induced nonlinear impairments in the context of coherent receivers for advanced modulated formats. While the classical Runge-Kutta numerical techniques provide almost ideal post-compensation when the receiver sampling time tends to zero, this accuracy diminishes quickly as we approach realistic sampling times. At rates near Nyquist, despite much reduced complexity, our proposed digital filter back propagation technique outperforms Runge-Kutta techniques in terms of root mean square (rms) residual distortion. We quantify rms residual distortion for both methods as sampling time varies. We also examine bit error performance for 16-QAM, as well as the impact of SOA saturation level. We examine robustness to imperfect channel estimation.