Low-complexity and joint modulation format identification and OSNR estimation using random forest for flexible coherent receivers
Low-complexity and joint modulation format identification and OSNR estimation using random forest for flexible coherent receivers
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使用随机森林进行灵活相干接收机的低复杂度联合调制格式识别和 OSNR 估计
DOI：
10.1016/j.optcom.2019.124698
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发表时间：
2020-02
影响因子：
2.4
通讯作者：
Zhiguo Zhang
中科院分区：
文献类型：
--
作者：
Yan Zhao;Chen Shi;Tao Yang;Jinhao Du;Yuanru Zang;Danshi Wang;Xue Chen;Liqian Wang;Zhiguo Zhang
A low-complexity and joint modulation format identification (MFI) and optical signal to noise ratio (OSNR) estimation scheme is proposed for flexible coherent receivers (FCRs) by using random forest (RF) combined with the amplitude histograms of pre-equalized signals. Numerical simulation and experiments demonstrate the proposed scheme can achieve good performance with very low complexity. Comprehensive simulation results of 16GBaud polarization multiplexed (PM) 4∕ 8∕ 16∕ 32∕ 64 quadrature amplitude modulation (QAM) not only prove RF-based MFI can obtain 100% accuracy at OSNR lower than that required for 20% forward error correction (FEC) limit, which is similar to deep neural network (DNN) and support vector machine (SVM), but also indicate the averaged mean absolute error (MAE) of OSNR estimation is superior to DNN and SVM. Moreover, the complexity of RF-based scheme is at least an order of magnitude lower than DNN and SVM. The performance is also experimentally investigated by 16GBaud P M− 4∕ 16∕ 32 QAM wavelength division multiplexing coherent systems. 100% MFI accuracy can also be achieved at OSNR lower than that required for 20% FEC limit and the averaged MAE is lower than DNN and SVM as well. The coexistent advantages of low-complexity and good performance make the proposed scheme have the potential to be embedded in FCRs.
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DOI：
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发表时间：
2009
期刊：
--
影响因子：
--
作者：
S. Marsland
通讯作者：
S. Marsland
影响因子：
11.2
作者：
Jinno, Masahiko;Takara, Hidehiko;Matsuoka, Shinji
通讯作者：
Matsuoka, Shinji
使用基于卷积神经网络的图像处理器在中间节点实现经济有效且数据大小自适应的 OPM
影响因子：
3.8
作者：
Danshi WANG;Mengyuan Wang;Min Zhang;Zhiguo Zhang;Hui Yang;Jin Li;Jianqiang Li;Xue Chen
通讯作者：
Xue Chen
DOI：
10.1017/cbo9780511801389.013
发表时间：
2000-03
期刊：
--
影响因子：
--
作者：
N. Cristianini;J. Shawe-Taylor
通讯作者：
N. Cristianini;J. Shawe-Taylor
影响因子：
3.8
作者：
Wenbo Zhang;Dingcheng Zhu;Zihang He;Nannan Zhang;Xiaoguang Zhang;Hu Zhang;Yong Li
通讯作者：
Wenbo Zhang;Dingcheng Zhu;Zihang He;Nannan Zhang;Xiaoguang Zhang;Hu Zhang;Yong Li