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

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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… Click to show full abstract

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.

Keywords: stokes parameters; using support; support vector; vector regression

Journal Title: IEEE Photonics Technology Letters
Year Published: 2019

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