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System impairment compensation in coherent optical communications by using a bio-inspired detector based on artificial neural network and genetic algorithm.
- Source :
-
Optics Communications . Sep2017, Vol. 399, p1-12. 12p. - Publication Year :
- 2017
-
Abstract
- A bio-inspired detector based on the artificial neural network (ANN) and genetic algorithm is proposed in the context of a coherent optical transmission system. The ANN is designed to mitigate 16-quadrature amplitude modulation system impairments, including linear impairment: Gaussian white noise, laser phase noise, in-phase/quadrature component imbalance, and nonlinear impairment: nonlinear phase. Without prior information or heuristic assumptions, the ANN, functioning as a machine learning algorithm, can learn and capture the characteristics of impairments from observed data. Numerical simulations were performed, and dispersion-shifted, dispersion-managed, and dispersion-unmanaged fiber links were investigated. The launch power dynamic range and maximum transmission distance for the bio-inspired method were 2.7 dBm and 240 km greater, respectively, than those of the maximum likelihood estimation algorithm. Moreover, the linewidth tolerance of the bio-inspired technique was 170 kHz greater than that of the k-means method, demonstrating its usability for digital signal processing in coherent systems. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00304018
- Volume :
- 399
- Database :
- Academic Search Index
- Journal :
- Optics Communications
- Publication Type :
- Academic Journal
- Accession number :
- 123174484
- Full Text :
- https://doi.org/10.1016/j.optcom.2017.04.050