Abstract
We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) for coherent optical orthogonal frequency-division multiplexing (CO-OFDM) and compare it with the recent inverse Volterra-series transfer function (IVSTF)-based NLE over up to 1000 km of uncompensated links. Demonstration of ANN-NLE at 80-Gb/s CO-OFDM using 16-quadrature amplitude modulation reveals a $Q$ -factor improvement after 1000-km transmission of 3 and 1 dB with respect to the linear equalization and IVSTF-NLE, respectively.
Original language | English |
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Pages (from-to) | 387-390 |
Journal | IEEE Photonics Technology Letters |
Volume | 27 |
Issue number | 4 |
DOIs | |
Publication status | Published - 4 Dec 2014 |
Keywords
- Coherent optical fiber transmission
- Functional link artificial neural networks
- Nonlinear equalizer
- OFDM
- Optical communication