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

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

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...

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Veröffentlicht in:IEEE photonics technology letters 2019-03, Vol.31 (5), p.385-388
Hauptverfasser: Ji, Tonghui, Peng, Yunfeng, Zhu, Guojun
Format: Artikel
Sprache:eng
Schlagworte:
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
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Beschreibung
Zusammenfassung: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.
ISSN:1041-1135
1941-0174
DOI:10.1109/LPT.2019.2896033