Modulation format and baud-rate identification using asynchronous single channel sampling based on CNN

Abstract In this paper, an asynchronous single channel sampling (ASCS) based joint modulation format and baud rate identification (MF–BRI) method is proposed for M-QAM optical systems using Convolutional Neural Network (CNN), which significantly reduces the cost and complexity of monitoring system setup. Based on the three influencing factors of OSNR, CD and DGD, three sampling rates are analyzed to generate ASCS images to build the database. The simulation and experiment accuracy of MFI and MF–BRI is above 99.8%. We also discuss the differences between two-channel sampling (TCS) and single-channel sampling (SCS).

[1]  Peter Harrington,et al.  Machine Learning in Action , 2012 .

[2]  Ah Chung Tsoi,et al.  Face recognition: a convolutional neural-network approach , 1997, IEEE Trans. Neural Networks.

[3]  Masahiko Jinno,et al.  Distance-adaptive spectrum resource allocation in spectrum-sliced elastic optical path network [Topics in Optical Communications] , 2010, IEEE Communications Magazine.

[4]  Changyuan Yu,et al.  Optical signal to noise ratio monitoring using single channel sampling technique. , 2014, Optics express.

[5]  Francisco-Jose Martínez-Zaldívar,et al.  Book reviews [Three books reviewed] , 2012, IEEE Communications Magazine.

[6]  JinnoMasahiko,et al.  Distance-adaptive spectrum resource allocation in spectrum-sliced elastic optical path network , 2010 .

[7]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[8]  M. Winter,et al.  Quality metrics for optical signals: Eye diagram, Q-factor, OSNR, EVM and BER , 2012, 2012 14th International Conference on Transparent Optical Networks (ICTON).

[9]  Masahiko Jinno,et al.  Elastic optical networking: a new dawn for the optical layer? , 2012, IEEE Communications Magazine.

[10]  Alan Pak Tao Lau,et al.  Non-data-aided joint bit-rate and modulation format identification for next-generation heterogeneous optical networks , 2014 .

[11]  Chao Lu,et al.  Joint baud-rate and modulation format identification based on asynchronous delay-tap plots analyzer by using convolutional neural network , 2019 .

[12]  Liu Jun,et al.  A review of object detection based on convolutional neural network , 2017, 2017 36th Chinese Control Conference (CCC).

[13]  Changyuan Yu,et al.  Simultaneous OSNR Monitoring and Modulation Format Identification Using Asynchronous Single Channel Sampling , 2015 .

[14]  D. Godard,et al.  Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems , 1980, IEEE Trans. Commun..