Abstract

In this study, we propose and verify a joint multi-parameter optical performance monitoring (OPM) scheme based on trajectory information for the Stokes vector direct detection (SVDD) system, for the first time, to the best of our knowledge. Here, the proposed scheme first performs quantification of the trajectory to construct trajectory information, which not only presents diversity of the received symbols in spatial dimension, but also records the jump pattern among symbols in time dimension. Subsequently, eigenanalysis is introduced to extract critical features hidden in trajectory information and simultaneously achieve the purpose of dimensionality reduction. The effectiveness of the scheme is verified through 14/28 GBaud SVDD binary phase shift keying/quadrature phase shift keying/-8 quadrature amplitude modulation (QAM)/-16QAM/-32QAM/-64QAM simulation systems. Under the scenario of joint modulation format (MF) identification and optical signal to noise ratio (OSNR) monitoring, the identification rates of all six kinds of MFs achieve 100% within their corresponding reasonable OSNR ranges. Besides that, the average mean absolute error (MAE) of the monitored OSNRs are obtained as 0.03 dB, 0.22 dB, 0.36 dB, 0.41 dB, 0.46 dB, and 0.49 dB for those six kinds of MFs, respectively. Under the scenario of multi-parameter OPM, SVDD-8QAM/-16QAM/-32QAM signals are 100% successfully identified when residual chromatic dispersion (RCD) is located in the ranges of 0–200 ps/nm, 0–190 ps/nm, and 0–160 ps/nm, respectively. The average MAE of OSNR monitoring and RCD estimation for these three commonly used MFs are 1.08 dB and 3.23 ps/nm, respectively. Moreover, the study also demonstrates the robustness for baud rates and a relatively simpler calculation complexity about the proposed OPM scheme.

© 2022 Optica Publishing Group

Joint nonlinear optical signal-to-noise ratio estimation and modulation format identification based on constellation-points trajectory information and multitask 1DCNN for WDM systems

Zhiguo Wang, Chenglin Bai, Lishan Yang, Xinyu Chi, Peng Qin, Xueyuan Luo, Hengying Xu, and Peiyun Ge
Appl. Opt. 61(36) 10744-10754 (2022)

Simultaneous modulation format identification and OSNR monitoring based on optoelectronic reservoir computing

Mengyao Han, Muguang Wang, Yuchuan Fan, Shiyi Cai, Yuxiao Guo, Naihan Zhang, Richard Schatz, Sergei Popov, Oskars Ozolins, and Xiaodan Pang
Opt. Express 30(26) 47515-47527 (2022)

Joint equalization of EEPN, RSOP, and CD with the sliding window assisted extended Kalman filter for a high baud rate Stokes vector direct detection system

Lingguo Cao, Hengying Xu, Zukai Sun, Chenglin Bai, Nan Cui, Yining Zhang, Lishan Yang, Weibin Sun, and Yanfeng Bi
Appl. Opt. 62(4) 1066-1075 (2023)

Joint, accurate and robust optical signal-to- noise ratio and modulation format monitoring scheme using a single Stokes-parameter-based artificial neural network

Qian Xiang, Yanfu Yang, Qun Zhang, and Yong Yao
Opt. Express 29(5) 7276-7287 (2021)

Multi-task deep neural network (MT-DNN) enabled optical performance monitoring from directly detected PDM-QAM signals

Yijun Cheng, Songnian Fu, Ming Tang, and Deming Liu
Opt. Express 27(13) 19062-19074 (2019)