In-Band OSNR Monitoring From Stokes Parameters Using Support Vector Regression

• Published in: IEEE photonics technology letters Vol. 31; no. 5; pp. 385 - 388
• Main Authors: Ji, Tonghui, Peng, Yunfeng, Zhu, Guojun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-03-2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive optics; Computer simulation; Division; Fiber optic communications; Monitoring; Noise monitoring; Optical communication; Optical noise; Optical performance monitoring (OPM); Optical receivers; optical signal-to-noise rate (OSNR); Polarization mode dispersion; Quadrature phase shift keying; Signal to noise ratio; Stokes parameters; Support vector machines; support vector regression
• ISSN: 1041-1135; 1941-0174
• DOI: 10.1109/LPT.2019.2896033

We proposed a new method to monitor the optical signal-to-noise rate (OSNR) for 112-Gb/s non-return-to-zero polarization-division-multiplexed quadrature phase-shift keying systems, using support vector regression trained with Stokes parameters. The numerical simulations show that OSNR levels between 11 and 35 dB can be estimated within ±1 dB with the interference of chromatic dispersion, polarization mode dispersion, and polarization-dependent loss.