In-band Perturbation based OSNR Estimation.

F. J. Vaquero Caballero,D Charlton,Mohammad E. Mousa-Pasandi,David J. Ives,Charles Laperle,Michael Hubbard,Michael Andrew Reimer,Maurice OSullivan,Seb J. Savory

In-band Perturbation based OSNR Estimation.

2020

F. J. Vaquero Caballero
D Charlton
Mohammad E. Mousa-Pasandi
David J. Ives
Charles Laperle
Michael Hubbard
Michael Andrew Reimer
Maurice OSullivan
Seb J. Savory

Perturbed spectra are modelled to estimate OSNR for a single channel amplified link. Perturbation-dependent nonlinear noise is separated from constant ASE noise using a set of propagated perturbed spectra. A least mean square fitting is used to estimate OSNR with standard deviation of 0.16 dB.

Keywords:

Least mean squares filter
nonlinear noise
Spectral line
Mathematical analysis
Standard deviation
Computer science
Communication channel
Perturbation (astronomy)

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