Equalization Methods for NLIN Mitigation
Signal Processing
2017-10-03 v1 Information Theory
math.IT
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.
Cite
@article{arxiv.1710.00625,
title = {Equalization Methods for NLIN Mitigation},
author = {Ori Golani and Meir Feder and Mark Shtaif},
journal= {arXiv preprint arXiv:1710.00625},
year = {2017}
}