Artículos de revistas
Mitigation of nonlinear phase noise in single-channel coherent 16-QAM systems employing logistic regression
Fecha
2021-09-01Registro en:
Optical and Quantum Electronics, v. 53, n. 9, 2021.
1572-817X
0306-8919
10.1007/s11082-021-03149-7
2-s2.0-85112447827
Autor
Universidade Estadual Paulista (UNESP)
CPqD Foundation
Metropolitan Autonomous University
Institución
Resumen
We propose and analyze a classifier based on logistic regression (LR) to mitigate the impact of nonlinear phase noise (NPN) caused by Kerr-induced self-phase-modulation in digital coherent systems with single-channel unrepeated links. Simulation results reveal that the proposed approach reduces the bit error ratio (BER) in a 100-km-long 16 quadrature amplitude modulation (16-QAM) system operating at 56-Gbps. Thus, the BER is reduced from 6.88 × 10−4 when using maximum likelihood to 4.27 × 10−4 after applying the LR-based classification, representing an increase of 0.36 dB in the effective Q-factor. This performance enhancement is achieved with only 624 operations per symbol, which can be easily parallelized into 16 lines of 39 operations.