Data-Aided Iterative Algorithms for Linearizing IM/DD Optical Transmission Systems

• DOI: 10.1109/jlt.2021.3063689
• Publication Date: 2021-03-03T20:52:51Z
• Authors: Shaohua Hu; Jing Zhang; Jianming Tang; Wei Jin; Roger Giddings; Kun Qiu
• Keywords: 0103 physical sciences; 01 natural sciences

DSP-enhanced intensity-modulation direct-detection (IM/DD) systems can support up to 56 Gb/s over 100 km signal transmissions at C-band. To achieve higher data rates and longer transmission distances, we propose data-aided iterative algorithm (DIA) decision-directed DIA (DD-DIA) digitally mitigate signal-signal beating interference (SSBI) without requiring any modifications physical layer structures. utilizes pilot symbols with uniformly spaced insertions relax the modified Gerchberg-Saxton (G-S) algorithms that suffer from local optimum problem. further improve symbol error rate (SER) performance convergence speed, DD-DIA introduces a decision process generate pseudo-pilots. We numerically compare other find recover signals subject large fiber dispersions corresponding which conventional IA Volterra filter (VF) fail, while significantly accelerates speed improves reconstruction compared DIA, it 100-Gb/s PAM4 400-km IM/DD within just 50 iterations. Two orders of magnitude reductions in SER is observed for 100-km SSMFs. Compared IA, proposed techniques have speeds, better global features tolerances model errors. In particular, results larger optical signal-to-noise ratio (OSNR)/ received power (ROP) improvement, capacities less computational complexity. promising efficiently reconstructing 2-dimensional field systems.