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Kernel Adaptive Filtering for Nonlinearity-Tolerant Optical Direct Detection Systems
KTH Royal Institute of Technology, Sweden.
KTH Royal Institute of Technology, Sweden.
RISE - Research Institutes of Sweden, ICT, Acreo.ORCID iD: 0000-0003-3754-0265
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2018 (English)In: ), 2018, p. 1-3Conference paper, Published paper (Refereed)
Abstract [en]

Kernel adaptive filtering (KAF) is proposed for nonlinearity-tolerant optical direct detection. for 7×128 Gbit/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).

Place, publisher, year, edition, pages
2018. p. 1-3
Keywords [en]
adaptive filters, decision feedback equalisers, error statistics, forward error correction, optical communication equipment, optical fibre amplifiers, optical fibre communication, optical modulation, pulse amplitude modulation, signal detection, decision-feedback-equalizer, kernel adaptive filtering, nonlinearity-tolerant optical direct detection systems, KAF, PAM4 transmission, 7-core-fiber, KP4-FEC limit, BER, Kernel, Optical filters, Adaptive optics, Fiber nonlinear optics, Optical fibers
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-37671DOI: 10.1109/ECOC.2018.8535560OAI: oai:DiVA.org:ri-37671DiVA, id: diva2:1288553
Conference
2018 European Conference on Optical Communication (ECOC)
Available from: 2019-02-13 Created: 2019-02-13 Last updated: 2019-02-13Bibliographically approved

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Udalcovs, Aleksejs

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