English

Kernel Adaptive Filtering for Nonlinearity-Tolerant Optical Direct Detection Systems

Signal Processing 2018-11-08 v1

Abstract

Kernel adaptive filtering (KAF) is proposed for nonlinearity-tolerant optical direct detection. For 7x128Gbit/s PAM4 transmission over 33.6km 7-core-fiber, KAF only needs 10 equalizer taps to reach KP4-FEC limit (BER@2.2e-4), whereas decision-feedback-equalizer needs 43 equalizer taps to reach HD-FEC limit (BER@3.8e-3).

Keywords

Cite

@article{arxiv.1811.02915,
  title  = {Kernel Adaptive Filtering for Nonlinearity-Tolerant Optical Direct Detection Systems},
  author = {Lu Zhang and Oskars Ozolins and Rui Lin and Aleksejs Udalcovs and Xiaodan Pang and Lin Gan and Richard Schatz and Anders Djupsjöbacka and Jonas Mårtensson and Urban Westergren and Ming Tang and Sonnian Fu and Deming Liu and Weijun Tong and Sergei Popov and Gunnar Jacobsen and Weisheng Hu and Shilin Xiao and Jiajia Chen},
  journal= {arXiv preprint arXiv:1811.02915},
  year   = {2018}
}

Comments

3 pages, 44th European Conference on Optical Communication (ECOC 2018), Rome, Italy, 2018

R2 v1 2026-06-23T05:07:44.308Z