论文信息 - Kernel-Based Learning-Aided Phase Noise Compensation in Dual-Pump Optical Phase Conjugation Coherent System

Kernel-Based Learning-Aided Phase Noise Compensation in Dual-Pump Optical Phase Conjugation Coherent System

We deploy kernel-based time-series prediction to suppress the phase noise induced by small deviations from ideal pump counter-phasing in a dual-pump optical phase conjugation system. We show experimentally 1.5-dB SNR improvement for 16-QAM signals at 4° pump-phase mismatch.

[1] Seb J Savory,et al. Digital filters for coherent optical receivers. , 2008, Optics express.

[2] R. Noe,et al. Hardware-Efficient Coherent Digital Receiver Concept With Feedforward Carrier Recovery for $M$ -QAM Constellations , 2009, Journal of Lightwave Technology.

[3] Leonid G. Kazovsky,et al. Narrow-linewidth idler generation in fiber four-wave mixing and parametric amplification by dithering two pumps in opposition of phase , 2002 .

[4] Mariia Sorokina,et al. Performance limits in optical communications due to fiber nonlinearity , 2017 .

[5] Md Asif Iqbal,et al. Experimental demonstration of 72% reach enhancement of 3.6Tbps optical transmission system using mid-link optical phase conjugation. , 2018, Optics express.

[6] Elias Giacoumidis,et al. Coupled Transceiver-Fiber Nonlinearity Compensation Based on Machine Learning for Probabilistic Shaping System , 2020, Journal of Lightwave Technology.