Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101444
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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.contributorMainland Development Officeen_US
dc.creatorZhang, Jen_US
dc.creatorTan, Hen_US
dc.creatorHong, Xen_US
dc.creatorLiu, Jen_US
dc.creatorGuo, Cen_US
dc.creatorFei, Cen_US
dc.creatorWu, Xen_US
dc.creatorLau, APTen_US
dc.creatorYu, Sen_US
dc.creatorLu, Cen_US
dc.date.accessioned2023-09-18T02:25:54Z-
dc.date.available2023-09-18T02:25:54Z-
dc.identifier.urihttp://hdl.handle.net/10397/101444-
dc.language.isoenen_US
dc.publisherOptical Society of Americaen_US
dc.rights© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement (https://opg.optica.org/library/license_v2.cfm#VOR-OA). Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.en_US
dc.rightsThe following publication Zhang, J., Tan, H., Hong, X., Liu, J., Guo, C., Fei, C., ... & Lu, C. (2022). Comparison of low-complexity sparse and weight-sharing nonlinear equalizers for C-band 100-Gbit/s DSB PAM-4 transmission over 60-km SSMF. Optics Express, 30(20), 36343-36357 is available at https://doi.org/10.1364/OE.468635.en_US
dc.titleComparison of low-complexity sparse and weight-sharing nonlinear equalizers for C-band 100-Gbit/s DSB PAM-4 transmission over 60-km SSMFen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage36343en_US
dc.identifier.epage36357en_US
dc.identifier.volume30en_US
dc.identifier.issue20en_US
dc.identifier.doi10.1364/OE.468635en_US
dcterms.abstractTo cope with the nonlinear distortions and the chromatic dispersion (CD) induced power fading in double-side band (DSB) intensity modulation and direct detection (IM/DD) transmission systems, high-performance Volterra nonlinear equalizers (VNLEs) including Volterra feed-forward equalizer (VFFE) and Volterra decision-feedback equalizer (VDFE) are widely applied. However, the conventional VNLEs have high computational complexity, especially for longer memory lengths. In this paper, based on sparse and weight-sharing strategies for significant kernel reduction, we propose four low-complexity NLEs including a sparse diagonally pruned VDFE (S-DP-VDFE), a sparse diagonally pruned absolute-term DFE (S-DP-ATDFE), a weight-sharing DP-VDFE (WS-DP-VDFE), and a weight-sharing DP-ATDFE (WS-DP-ATDFE), and present a comprehensive comparison among them in terms of computational complexity and bit error ratio (BER) performance in a C-band 100-Gbit/s PAM-4 transmission system over 60-km standard single-mode fiber (SSMF). The experimental results show that the proposed S-DP-VDFE and WS-DP-VDFE not only exhibit comparable performance with the conventional DP-VDFE but also reduce the complexity by 54.5% and 45.9%, respectively. While the proposed S-DP-ATDFE and WS-DP-ATDFE yield lower complexity at the expense of a slight performance degradation. Compared with the proposed S-DP-VDFE, S-DP-ATDFE, and WS-DP-VDFE, the proposed WS-DP-ATDFE with the lowest number of real-valued multiplications of 45 achieves up to 90.9%, 81.6%, and 95.8% complexity reduction, respectively, at the 7% hard-decision forward error correction (HD-FEC) BER limit of 3.8 × 10-3. The proposed low-complexity WS-DP-ATDFE shows great potential in low-cost and high-performance IM/DD optical transmission systems.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationOptics express, 26 Sept. 2022, v. 30, no. 20, p. 36343-36357en_US
dcterms.isPartOfOptics expressen_US
dcterms.issued2022-09-26-
dc.identifier.scopus2-s2.0-85138780332-
dc.identifier.pmid36258564-
dc.identifier.ros2022004377-
dc.identifier.eissn1094-4087en_US
dc.description.validate202309 bckwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberCDCF_2022-2023-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key Research and Development Program of China; National Natural Science Foundation of China; Hong Kong Government General Research Fund; Shenzhen Municipal Science and Technology Innovation Commission; Hong Kong Polytechnic University; China Postdoctoral Science Foundation; Natural Science Foundation of Zhejiang Provinceen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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