Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning
Publication
, Journal Article
Häger, C; Pfister, HD
Published in: European Conference on Optical Communication, ECOC
November 14, 2018
We propose a low-complexity sub-banded DSP architecture for digital backpropagation where the walk-off effect is compensated using simple delay elements. For a simulated 96-Gbaud signal and 2500 km optical link, our method achieves a 2.8 dB SNR improvement over linear equalization.
Duke Scholars
Published In
European Conference on Optical Communication, ECOC
DOI
Publication Date
November 14, 2018
Volume
2018-September
Citation
APA
Chicago
ICMJE
MLA
NLM
Häger, C., & Pfister, H. D. (2018). Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning. European Conference on Optical Communication, ECOC, 2018-September. https://doi.org/10.1109/ECOC.2018.8535251
Häger, C., and H. D. Pfister. “Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning.” European Conference on Optical Communication, ECOC 2018-September (November 14, 2018). https://doi.org/10.1109/ECOC.2018.8535251.
Häger C, Pfister HD. Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning. European Conference on Optical Communication, ECOC. 2018 Nov 14;2018-September.
Häger, C., and H. D. Pfister. “Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning.” European Conference on Optical Communication, ECOC, vol. 2018-September, Nov. 2018. Scopus, doi:10.1109/ECOC.2018.8535251.
Häger C, Pfister HD. Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning. European Conference on Optical Communication, ECOC. 2018 Nov 14;2018-September.
Published In
European Conference on Optical Communication, ECOC
DOI
Publication Date
November 14, 2018
Volume
2018-September