Gonçalves João, Martins Celestino S, Guiomar Fernando P, Cunha Telmo R, Pedro José C, Pinto Armando N, Lavrador Pedro M
Opt Express. 2016 Dec 26;24(26):30309-30316. doi: 10.1364/OE.24.030309.
Using digital backpropagation (DBP) based on the split step Fourier method (SSFM) aided by a memory polynomial (MP) model, we demonstrate an improved DBP approach for fiber nonlinearity compensation. The proposed technique (DBP-SSFM&MP) is numerically validated and its performance and complexity are compared against the benchmark DBP-SSFM, considering a single-channel 336 Gb/s PM-64QAM transmission system. We demonstrate that the proposed technique allows to maintain the performance achieved by DBP-SSFM, while decreasing the required number of iterations, by over 60%. For a transmission length of 1600 km we obtain a complexity reduction gain of 50.7% in terms of real multiplications in comparison with the standard DBP-SSFM.
利用基于分步傅里叶方法（SSFM）并借助记忆多项式（MP）模型的数字反向传播（DBP），我们展示了一种用于光纤非线性补偿的改进型DBP方法。所提出的技术（DBP-SSFM&MP）经过了数值验证，并在考虑单通道336 Gb/s偏振复用64正交幅度调制（PM-64QAM）传输系统的情况下，将其性能和复杂度与基准DBP-SSFM进行了比较。我们证明，所提出的技术能够保持DBP-SSFM所实现的性能，同时将所需的迭代次数减少60%以上。对于1600 km的传输长度，与标准DBP-SSFM相比，我们在实数乘法方面获得了50.7%的复杂度降低增益。
