A Non-Data-Aided OSNR Estimation Algorithm for Coherent Optical Fiber Communication Systems Employing Multilevel Constellations
The performance of existing moments-based non-data-aided (NDA) optical signal-to-noise ratio (OSNR) estimation approaches degrades greatly for coherent optical systems employing multilevel constellations. We propose a novel NDA OSNR estimation algorithm, which provides enhanced performance for such...
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creator | Xiang Lin Dobre, Octavia A. Ngatched, Telex M. N. Cheng Li |
description | The performance of existing moments-based non-data-aided (NDA) optical signal-to-noise ratio (OSNR) estimation approaches degrades greatly for coherent optical systems employing multilevel constellations. We propose a novel NDA OSNR estimation algorithm, which provides enhanced performance for such systems. The proposed algorithm utilizes the empirical cumulative distribution function of the signal's amplitude to extract the information on the noise variance. Analytical and extensive simulation results show the feasibility and advantages of the algorithm. For the studied systems employing multilevel constellations such as 8-quadrature amplitude modulation (QAM), 16-QAM, 32-QAM, and 64-QAM, the proposed algorithm attains the derived Cramér-Rao lower bound. Furthermore, it achieves a lower mean square error with significantly lower complexity when compared to the conventional moments-based NDA estimation approach. Moreover, the impact of fiber nonlinearity is investigated with a five-channel Nyquist wavelength division multiplexing system, and the proposed algorithm outperforms the moments-based counterpart. |
doi_str_mv | 10.1109/JLT.2019.2921305 |
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N. ; Cheng Li</creator><creatorcontrib>Xiang Lin ; Dobre, Octavia A. ; Ngatched, Telex M. N. ; Cheng Li</creatorcontrib><description>The performance of existing moments-based non-data-aided (NDA) optical signal-to-noise ratio (OSNR) estimation approaches degrades greatly for coherent optical systems employing multilevel constellations. We propose a novel NDA OSNR estimation algorithm, which provides enhanced performance for such systems. The proposed algorithm utilizes the empirical cumulative distribution function of the signal's amplitude to extract the information on the noise variance. Analytical and extensive simulation results show the feasibility and advantages of the algorithm. For the studied systems employing multilevel constellations such as 8-quadrature amplitude modulation (QAM), 16-QAM, 32-QAM, and 64-QAM, the proposed algorithm attains the derived Cramér-Rao lower bound. Furthermore, it achieves a lower mean square error with significantly lower complexity when compared to the conventional moments-based NDA estimation approach. Moreover, the impact of fiber nonlinearity is investigated with a five-channel Nyquist wavelength division multiplexing system, and the proposed algorithm outperforms the moments-based counterpart.</description><identifier>ISSN: 0733-8724</identifier><identifier>EISSN: 1558-2213</identifier><identifier>DOI: 10.1109/JLT.2019.2921305</identifier><identifier>CODEN: JLTEDG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Adaptive optics ; Algorithms ; Amplitudes ; Communications systems ; Computer simulation ; Constellations ; Cramer-Rao bounds ; Cumulative distribution function ; Distribution functions ; Empirical analysis ; Estimation ; Feasibility studies ; High-speed optical techniques ; Lower bounds ; Multilevel ; multilevel constellations ; Optical communication ; optical fiber communication ; Optical fibers ; Optical noise ; optical performance monitoring ; Optical receivers ; optical signal-to-noise ratio ; Performance enhancement ; Quadrature amplitude modulation ; Signal to noise ratio ; Wavelength division multiplexing</subject><ispartof>Journal of lightwave technology, 2019-08, Vol.37 (15), p.3815-3825</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-cf9c7f015f7f8515fc6350e5c75199442e3a40d6f79634c9ffd74e1511578d473</citedby><cites>FETCH-LOGICAL-c291t-cf9c7f015f7f8515fc6350e5c75199442e3a40d6f79634c9ffd74e1511578d473</cites><orcidid>0000-0003-3424-2414 ; 0000-0003-1737-2348 ; 0000-0001-7646-9452 ; 0000-0001-8528-0512</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8732373$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8732373$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xiang Lin</creatorcontrib><creatorcontrib>Dobre, Octavia A.</creatorcontrib><creatorcontrib>Ngatched, Telex M. N.</creatorcontrib><creatorcontrib>Cheng Li</creatorcontrib><title>A Non-Data-Aided OSNR Estimation Algorithm for Coherent Optical Fiber Communication Systems Employing Multilevel Constellations</title><title>Journal of lightwave technology</title><addtitle>JLT</addtitle><description>The performance of existing moments-based non-data-aided (NDA) optical signal-to-noise ratio (OSNR) estimation approaches degrades greatly for coherent optical systems employing multilevel constellations. We propose a novel NDA OSNR estimation algorithm, which provides enhanced performance for such systems. The proposed algorithm utilizes the empirical cumulative distribution function of the signal's amplitude to extract the information on the noise variance. Analytical and extensive simulation results show the feasibility and advantages of the algorithm. For the studied systems employing multilevel constellations such as 8-quadrature amplitude modulation (QAM), 16-QAM, 32-QAM, and 64-QAM, the proposed algorithm attains the derived Cramér-Rao lower bound. Furthermore, it achieves a lower mean square error with significantly lower complexity when compared to the conventional moments-based NDA estimation approach. Moreover, the impact of fiber nonlinearity is investigated with a five-channel Nyquist wavelength division multiplexing system, and the proposed algorithm outperforms the moments-based counterpart.</description><subject>Adaptive optics</subject><subject>Algorithms</subject><subject>Amplitudes</subject><subject>Communications systems</subject><subject>Computer simulation</subject><subject>Constellations</subject><subject>Cramer-Rao bounds</subject><subject>Cumulative distribution function</subject><subject>Distribution functions</subject><subject>Empirical analysis</subject><subject>Estimation</subject><subject>Feasibility studies</subject><subject>High-speed optical techniques</subject><subject>Lower bounds</subject><subject>Multilevel</subject><subject>multilevel constellations</subject><subject>Optical communication</subject><subject>optical fiber communication</subject><subject>Optical fibers</subject><subject>Optical noise</subject><subject>optical performance monitoring</subject><subject>Optical receivers</subject><subject>optical signal-to-noise ratio</subject><subject>Performance enhancement</subject><subject>Quadrature amplitude modulation</subject><subject>Signal to noise ratio</subject><subject>Wavelength division multiplexing</subject><issn>0733-8724</issn><issn>1558-2213</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtLAzEQh4MoWKt3wUvA89Y8N5tjqa0Pagu2npd1N2kj2U1NUqEn_3XTB56Gmfl-M_ABcIvRAGMkH16nywFBWA6IJJgifgZ6mPMiI6k7Bz0kKM0KQdgluArhCyHMWCF64HcIZ67LHqtYZUPTqAbOF7N3OA7RtFU0roNDu3LexHULtfNw5NbKqy7C-SaaurJwYj7Vfty22y4NDpHFLkTVBjhuN9btTLeCb1sbjVU_yia0S1trD2i4Bhe6skHdnGoffEzGy9FzNp0_vYyG06wmEses1rIWGmGuhS54KnVOOVK8FhxLyRhRtGKoybWQOWW11LoRTGGOMRdFwwTtg_vj3Y1331sVYvnltr5LL0tCckxyxjhJFDpStXcheKXLjU8e_K7EqNxrLpPmcq-5PGlOkbtjxCil_vFCUEKT8j_Uw3lv</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Xiang Lin</creator><creator>Dobre, Octavia A.</creator><creator>Ngatched, Telex M. N.</creator><creator>Cheng Li</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-3424-2414</orcidid><orcidid>https://orcid.org/0000-0003-1737-2348</orcidid><orcidid>https://orcid.org/0000-0001-7646-9452</orcidid><orcidid>https://orcid.org/0000-0001-8528-0512</orcidid></search><sort><creationdate>20190801</creationdate><title>A Non-Data-Aided OSNR Estimation Algorithm for Coherent Optical Fiber Communication Systems Employing Multilevel Constellations</title><author>Xiang Lin ; Dobre, Octavia A. ; Ngatched, Telex M. N. ; Cheng Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-cf9c7f015f7f8515fc6350e5c75199442e3a40d6f79634c9ffd74e1511578d473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adaptive optics</topic><topic>Algorithms</topic><topic>Amplitudes</topic><topic>Communications systems</topic><topic>Computer simulation</topic><topic>Constellations</topic><topic>Cramer-Rao bounds</topic><topic>Cumulative distribution function</topic><topic>Distribution functions</topic><topic>Empirical analysis</topic><topic>Estimation</topic><topic>Feasibility studies</topic><topic>High-speed optical techniques</topic><topic>Lower bounds</topic><topic>Multilevel</topic><topic>multilevel constellations</topic><topic>Optical communication</topic><topic>optical fiber communication</topic><topic>Optical fibers</topic><topic>Optical noise</topic><topic>optical performance monitoring</topic><topic>Optical receivers</topic><topic>optical signal-to-noise ratio</topic><topic>Performance enhancement</topic><topic>Quadrature amplitude modulation</topic><topic>Signal to noise ratio</topic><topic>Wavelength division multiplexing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xiang Lin</creatorcontrib><creatorcontrib>Dobre, Octavia A.</creatorcontrib><creatorcontrib>Ngatched, Telex M. N.</creatorcontrib><creatorcontrib>Cheng Li</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of lightwave technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xiang Lin</au><au>Dobre, Octavia A.</au><au>Ngatched, Telex M. N.</au><au>Cheng Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Non-Data-Aided OSNR Estimation Algorithm for Coherent Optical Fiber Communication Systems Employing Multilevel Constellations</atitle><jtitle>Journal of lightwave technology</jtitle><stitle>JLT</stitle><date>2019-08-01</date><risdate>2019</risdate><volume>37</volume><issue>15</issue><spage>3815</spage><epage>3825</epage><pages>3815-3825</pages><issn>0733-8724</issn><eissn>1558-2213</eissn><coden>JLTEDG</coden><abstract>The performance of existing moments-based non-data-aided (NDA) optical signal-to-noise ratio (OSNR) estimation approaches degrades greatly for coherent optical systems employing multilevel constellations. We propose a novel NDA OSNR estimation algorithm, which provides enhanced performance for such systems. The proposed algorithm utilizes the empirical cumulative distribution function of the signal's amplitude to extract the information on the noise variance. Analytical and extensive simulation results show the feasibility and advantages of the algorithm. For the studied systems employing multilevel constellations such as 8-quadrature amplitude modulation (QAM), 16-QAM, 32-QAM, and 64-QAM, the proposed algorithm attains the derived Cramér-Rao lower bound. Furthermore, it achieves a lower mean square error with significantly lower complexity when compared to the conventional moments-based NDA estimation approach. Moreover, the impact of fiber nonlinearity is investigated with a five-channel Nyquist wavelength division multiplexing system, and the proposed algorithm outperforms the moments-based counterpart.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JLT.2019.2921305</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-3424-2414</orcidid><orcidid>https://orcid.org/0000-0003-1737-2348</orcidid><orcidid>https://orcid.org/0000-0001-7646-9452</orcidid><orcidid>https://orcid.org/0000-0001-8528-0512</orcidid></addata></record> |
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subjects | Adaptive optics Algorithms Amplitudes Communications systems Computer simulation Constellations Cramer-Rao bounds Cumulative distribution function Distribution functions Empirical analysis Estimation Feasibility studies High-speed optical techniques Lower bounds Multilevel multilevel constellations Optical communication optical fiber communication Optical fibers Optical noise optical performance monitoring Optical receivers optical signal-to-noise ratio Performance enhancement Quadrature amplitude modulation Signal to noise ratio Wavelength division multiplexing |
title | A Non-Data-Aided OSNR Estimation Algorithm for Coherent Optical Fiber Communication Systems Employing Multilevel Constellations |
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