Modulation format identification (MFI) is crucial in next-generation optical networks such as cognitive optical networks. An integrated-clustering-algorithm-based MFI scheme in a coherent optical communication system is proposed herein. Numerical simulations are performed to test the performance of the scheme on the platform of a polarization domain multiplexing system at a symbol rate of 28 Gbaud. Simulations show that the MFI scheme can achieve an accuracy of 100% for five modulation formats considered in this study when the optical signal-to-noise ratio values are lower than the 7% forward error correction threshold. Tolerances to residual chromatic dispersion (CD) are discussed, and the results show that the proposed scheme can perform well as the residual CD changes over a wide range of values. Moreover, by selecting a number of key blocks, the proposed scheme is less complex than other clustering-based MFI schemes.
@article{arxiv.2104.14475,
title = {Identifying modulation formats using integrated clustering algorithm},
author = {Wenbo Zhang and Jinmei Ye and Zixian Yue and Yuxiang Wang and Xulun Zhang and Xiaoguang Zhang and Lixia Xi},
journal= {arXiv preprint arXiv:2104.14475},
year = {2021}
}