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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Veröffentlicht in:Journal of lightwave technology 2019-08, Vol.37 (15), p.3815-3825
Hauptverfasser: Xiang Lin, Dobre, Octavia A., Ngatched, Telex M. N., Cheng Li
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container_issue 15
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container_title Journal of lightwave technology
container_volume 37
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.
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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. 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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 &amp; 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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