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arXiv · 1811.02915

Kernel Adaptive Filtering for Nonlinearity-Tolerant Optical Direct Detection Systems

Lu Zhang·Oskars Ozolins·Rui Lin·Aleksejs Udalcovs·Xiaodan Pang·Lin Gan·Richard Schatz·Anders Djupsjöbacka·Jonas Mårtensson·Urban Westergren·Ming Tang·Sonnian Fu·Deming Liu·Weijun Tong·Sergei Popov·Gunnar Jacobsen·Weisheng Hu·Shilin Xiao·Jiajia Chen
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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).

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Lu Zhang, Oskars Ozolins, Rui Lin, Aleksejs Udalcovs, Xiaodan Pang, Lin Gan, Richard Schatz, Anders Djupsjöbacka, Jonas Mårtensson, Urban Westergren, Ming Tang, Sonnian Fu, Deming Liu, Weijun Tong, Sergei Popov, Gunnar Jacobsen, Weisheng Hu, Shilin Xiao, Jiajia Chen. 2018-11-07. Kernel Adaptive Filtering for Nonlinearity-Tolerant Optical Direct Detection Systems. https://arxiv.org/abs/1811.02915

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