Equalization Methods for NLIN Mitigation

2017/08/22 by Ori Golani, Meir Feder, Golani, Ori +3
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Mathematics · Medicine · #Adenosine and Purinergic Signaling #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Organic Light-Emitting Diodes Research #Polyomavirus and related diseases #Signal Processing (eess.SP) #cs.IT #eess.SP #electronic engineering #information engineering #math.IT

paper · pdf · doi:10.48550/arxiv.1710.00625

arxiv created 2017/08/22 · openalex publication_date 2017/08/22 · arxiv updated 2017/10/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We investigate the potential of adaptive equalization techniques to mitigate inter-channel nonlinear interference noise (NLIN). We derive a lower bound on the mutual information of a system using adaptive equalization, showing that the channel estimation error determines the equalizer's performance. We develop an adaptive equalization scheme which uses the statistics of the NLIN to obtain optimal detection, based on Kalman filtering and maximum likelihood sequence estimation (MLSE). This scheme outperforms commonly used equalizers and significantly increases performance.

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