Abstract
We propose a low-cost technique for simultaneous and independent optical signal-to-noise ratio (OSNR), chromatic dispersion (CD), and polarization-mode dispersion (PMD) monitoring in 40/56-Gb/s return-to-zero differential quadrature phase-shift keying (RZ-DQPSK) and 40-Gb/s RZ-DPSK systems, using artificial neural networks (ANN) trained with empirical moments of asynchronously sampled signal amplitudes. The proposed technique employs an extremely simple hardware and digital signal processing to enable multi-impairment monitoring at different data rates and for various modulation formats without necessitating hardware changes. Simulation results demonstrate wide dynamic ranges and good monitoring accuracies.
Original language | English |
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Article number | 6168795 |
Pages (from-to) | 982-984 |
Number of pages | 3 |
Journal | IEEE Photonics Technology Letters |
Volume | 24 |
Issue number | 12 |
DOIs | |
Publication status | Published - 22 May 2012 |
Keywords
- Artificial neural networks
- Asynchronous sampling
- Empirical moments
- Multi-impairment monitoring
- Optical performance monitoring
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering