Real time low-complexity adaptive channel equalization for coherent optical transmission systems
Xu Zhang, Xiang Li, Tao Zeng, Lingheng Meng, Jie Li, Ming Luo, Feng Jiang, Ziqing Liu, Shaohua Yu
Abstract
In this paper, a novel low-complexity adaptive channel equalization (ACE) algorithm for digital coherent optical systems is proposed and experimentally demonstrated. We divide the conventional N-tap butterfly ACE into two N-tap polarization independent filters and a 1-tap butterfly adaptive equalization filter. The computational complexity can reduce about 40% of multiplier operations in the digital signal processing (DSP). We evaluate the effectiveness of our proposed ACE algorithm in a 10-Gb/s real-time coherent transmission platform. It is shown that our proposed ACE algorithm has similar performance as conventional ACE algorithm and better polarization tracking ability.