OSNR Monitoring for PM-QPSK Systems With Large Inline Chromatic Dispersion Using Artificial Neural Network Technique

被引：21

作者：

Shen, Thomas Shun Rong ^{[1
]}

Sui, Qi ^{[2
]}

Lau, Alan Pak Tao ^{[2
]}

机构：

[1] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA

[2] Hong Kong Polytech Univ, Dept Elect Engn, Photon Res Ctr, Kowloon, Hong Kong, Peoples R China

来源：

IEEE PHOTONICS TECHNOLOGY LETTERS | 2012年 / 24卷 / 17期

关键词：

Artificial neural network (ANN); optical fiber communication; optical signal-to-noise ratio (OSNR); optical performance monitoring (OPM);

D O I：

10.1109/LPT.2012.2209413

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：

We propose an optical signal-to-noise ratio (OSNR) monitoring technique for polarization-multiplexed (PM) quadrature phase shift keying (QPSK) systems with large inline chromatic dispersion (CD) based on artificial neural network (ANN) techniques. The transmitted signal is directly detected, and part of the corresponding radio frequency spectrum is used as the input to ANN. Simulation results for 112-Gb/s PM return-to-zero QPSK systems demonstrate an OSNR monitoring range of 12-24 dB in presence of CD up to 27 000 ps/nm with a maximum monitoring error of 0.84 dB. Tolerance of the proposed technique on polarization-mode dispersion effects is also investigated.

引用

页码：1564 / 1567

页数：4

共 24 条

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