A modified PSO assisted blind modulation format identification scheme for elastic optical networks
A modified PSO assisted blind modulation format identification scheme for elastic optical networks
复制标题
一种改进的PSO辅助弹性光网络盲调制格式识别方案
DOI：
10.1016/j.optcom.2020.126280
复制
发表时间：
2020-12-01
影响因子：
2.4
通讯作者：
Hu, Weisheng
中科院分区：
文献类型：
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作者：
Yu, Xinkuo;Bai, Chenglin;Hu, Weisheng
采用改进的粒子群优化算法（M-PSO），提出了一种新的弹性光网络调制格式盲识别方案。与传统的粒子群算法相比，该算法对粒子的视线进行了严格的限制，以搜索密度分布直方图上的局部极值点。在实验中，DDH上LEP的分布依赖于信号的调制格式，然后被视为关键的识别指标。提出的MFI方案在识别过程中不需要光信噪比（OSNR）的先验信息，并表现出对频率偏移和线宽的天然抵抗力。通过28 GBaud偏振复用（PDM）-BPSK/QPSK/8 QAM/16 QAM传输系统验证了该方案的可行性，仿真结果表明，实现100%识别率所需的最低OSNR均低于其对应的7%前向纠错（FEC）门限（BER=3.8e-3）。此外，在模拟条件下，还验证了光纤的残余色散（CD）、差分群时延（DGD）和非线性效应的容忍度。研究结果表明，提出的MFI计划表现出有趣的鲁棒性的线性和非线性损伤。此外，我们还证明了一个相对简单的计算复杂度下提出的MFI计划。
By using a modified particle swarm optimization (M-PSO) design, a novel and blind modulation format identification (MFI) scheme was proposed for elastic optical networks (EONs) in this study. Compared with the traditional PSO algorithm, the sight of each particle in our M-PSO algorithm was strictly restricted to perform search of local extremum points (LEPs) on density distribution histograms (DDHs). In the experiment, the distributions of LEPs on DDHs depended on signals' modulation formats, and then were regarded as the key identification metric. The proposed MFI scheme did not need prior information of optical signal noise rate (OSNR) in the identification processes, and showed a natural resistance to frequency offset and line width. The feasibility of the proposed scheme was verified by 28 GBaud polarization division multiplexing (PDM)-BPSK/QPSK/8QAM/16QAM transmission system, where the simulation results showed that the lowest OSNRs required to achieve 100% identification rate were all lower than their corresponding 7% forward error correction (FEC) thresholds (BER=3.8e-3). Furthermore, the tolerance of the residual chromatic dispersion (CD), differential group delay (DGD) and nonlinear effect were also verified under the simulation conditions. The study results manifest that the proposed MFI scheme showed interesting robustness to both linear and nonlinear impairments. Moreover, we also demonstrated a relatively simpler calculation complexity under the proposed MFI scheme.