| 一种基于改进DD-RLS的非线性相位噪声追踪算法 |
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| 引用本文： | 黄强,冯晓芳,贺云,谢俊毅,连伟华.一种基于改进DD-RLS的非线性相位噪声追踪算法[J].光通信技术,2021,45(3):42-46. |
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| 作者姓名： | 黄强 冯晓芳 贺云 谢俊毅 连伟华 |
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| 作者单位： | 南方电网责任有限公司,广州510530;南方电网责任有限公司,广州510530;华中科技大学武汉光电国家研究中心,武汉430074 |
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| 基金项目： | 中国南方电网科研项目(0000002020030304XT00002)资助。 |
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| 摘 要： | 在相干光纤通信系统中,为了提高接收端的相位追踪算法性能,提出了一种相位追踪算法——基于改进的判决导向递归最小二乘(DD-RLS)算法,将改进的DD-RLS算法和非线性前补算法结合应用于WDM相干光纤系统中抑制交叉相位调制(XPM)。传输仿真结果表明:该算法能够有效抑制系统中的XPM效应,在1000 km的11个信道的波分复用(WDM)系统传输中,相比传统DD-RLS算法,该算法能够更好地追踪相干WDM系统中的非线性相位噪声,信号Q~2值提高了0.8 dB。
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| 关 键 词： | 相干光纤通信系统 波分复用系统 交叉相位调制 非线性相位噪声 光纤非线性补偿 |
Nonlinear phase noise tracking algorithm based on modified DD-RLS |
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| HUANG Qiang,FENG Xiaofang,HE Yun,XIE Junyi,LIAN Weihua.Nonlinear phase noise tracking algorithm based on modified DD-RLS[J].Optical Communication Technology,2021,45(3):42-46. |
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| Authors: | HUANG Qiang FENG Xiaofang HE Yun XIE Junyi LIAN Weihua |
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| Affiliation: | (China Southern Power Grid,Guangzhou 510530,China;Wuhan National Laboratory for Optoelectronics,Huazhong University of Science and Technology,Wuhan 430074,China) |
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| Abstract: | In order to improve the phase noise tracking performance of coherent fiber communication system,a phase noise tracking algorithm——modified decision-directed recursive least square(DD-RLS)algorithm has been proposed.The modified DD-RLS algorithm and nonlinear pre-compensation algorithm are combined to suppress cross-phase modulation(XPM)in WDM coherent fiber system.Transmission simulation shows that the algorithm can effectively suppress the XPM effect in the system,it can track the nonlinear phase noise in coherent wavelength division multiplexing(WDM)optical fiber communication systems more efficiently than the traditional DD-RLS algorithm,and can improve the Q2 factor of the signal by 0.8 dB comparing with the traditional algorithm in a 1000 km transmission simulation with 11 channels. |
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| Keywords: | coherent optical fiber communication system wavelength division multiplexing system cross-phase modulation nonlinear phase noise fiber nonlinearity compensation |
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