A Non-Data-Aided OSNR Estimation Algorithm for Coherent Optical Fiber Communication Systems Employing Multilevel Constellations

被引：20
|
作者：
Lin, Xiang [1 ]
Dobre, Octavia A. [1 ]
Ngatched, Telex M. N. [1 ]
Li, Cheng [1 ]
机构：
[1] Mem Univ, Fac Engn & Appl Sci, St John, NF A1B 3X5, Canada
来源：
JOURNAL OF LIGHTWAVE TECHNOLOGY | 2019年 / 37卷 / 15期
关键词：
Cumulative distribution function; multilevel constellations; optical fiber communication; optical performance monitoring; optical signal-to-noise ratio; MODULATION CLASSIFICATION; JOINT OSNR;
D O I：
10.1109/JLT.2019.2921305
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The performance of existing moments-based nondata-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 Cramer- Rao lower bound. Furthermore, it achieves a lower mean square error with significantly lower omplexity 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.
引用
收藏
页码：3815 / 3825
页数：11
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