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BCH Codes for Coherent Star DQAM Systems with Laser Phase Noise
RISE - Research Institutes of Sweden, ICT, Acreo. KTH Royal Institute of Technology, Sweden.
DTU Technical University of Denmark, Denmark.
RISE - Research Institutes of Sweden, ICT, Acreo. KTH Royal Institute of Technology, Sweden.
DTU Technical University of Denmark, Denmark.
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2017 (English)In: Journal of optical communications, ISSN 0173-4911, E-ISSN 2191-6322, Vol. 38, no 1, p. 47-56Article in journal (Refereed) Published
Abstract [en]

Coherent optical systems have relatively high laser phase noise, which affects the performance of forward error correction (FEC) codes. In this paper, we propose a method for selecting Bose-Chaudhuri-Hocquenghem (BCH) codes for coherent systems with star-shaped constellations and M-ary differential quadrature amplitude modulation (DQAM). Our method supports constellations of any order M which is a power of 2, and includes differential M-ary phase shift keying as a special case. Our approach is straightforward, requiring only short pre-FEC simulations to parameterize a statistical model, based on which we select codes analytically. It is applicable to pre-FEC bit error rates (BERs) of around 10-3. We evaluate the accuracy of our approach using numerical simulations. For a target post-FEC BER of 10-5, codes selected with our method yield BERs within 2× target. Lastly, we extend our method to systems with interleaving, which enables us to use codes with lower overhead.

Place, publisher, year, edition, pages
2017. Vol. 38, no 1, p. 47-56
Keywords [en]
block codes, cycle slips, error correction codes, optical fiber communications, phase noise, Codes (symbols), Error correction, Errors, Optical communication, Optical fiber communication, Optical fibers, Optical systems, Phase shift, Phase shift keying, Stars, Bose-chaudhuri-hocquenghem codes, Coherent optical systems, Forward error correction codes, Laser phase noise, M-ary phase shift keying, Statistical modeling, Forward error correction
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-29338DOI: 10.1515/joc-2016-0002Scopus ID: 2-s2.0-85015272956OAI: oai:DiVA.org:ri-29338DiVA, id: diva2:1093914
Available from: 2017-05-08 Created: 2017-05-08 Last updated: 2019-01-03Bibliographically approved

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