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A Blind Nonlinearity Compensator Using DBSCAN Clustering for Coherent Optical Transmission Systems
September 2019 • Elias Giacoumidis, Yi Lin, Mutsam A. Jarajreh, Sean O’Dúill, Kevin McGuinness, Paul F. Whelan, Liam P. Barry
We experimentally demonstrate, for the first time, blind nonlinearity compensation using the Density-Based Spatial-Clustering of Applications with Noise (DBSCAN) algorithm for a 40-Gb/s 16-quadrature amplitude modulated being transmitted at 50 km of standard single-mode fiber. At high launched optical powers, DBSCAN offers up to 0.83- and 8.84-dB enhancement in Q-factor when compared to conventional K-means clustering and linear equalization, respectively.
Dbscan
Cluster Analysis
Signal Transmission
Computer Science
Optics
Physics
Algorithm
Artificial Intelligence
Quantum Mechanics