A method for nonlinearity compensation of OFDR based on polynomial regression algorithm

被引:4
|
作者
Fan Xu-jun [1 ]
Liu Jian-fei [1 ]
Luo Ming-ming [1 ]
Zeng Xiang-ye [1 ]
Lu Jia [1 ]
Liu Jie [1 ]
Yang Wen-rang [2 ]
机构
[1] Hebei Univ Technol, Sch Elect Informat Engn, Key Lab Elect Mat & Devices Tianjin, Tianjin 300401, Peoples R China
[2] Hebei Univ Technol, State Key Lab Reliabil & Intelligence Elect Equip, Tianjin 300130, Peoples R China
基金
中国国家自然科学基金;
关键词
A;
D O I
10.1007/s11801-020-9047-8
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A method based on polynomial regression algorithm (PRA) is proposed in this paper to compensate the nonlinear phase noise in optical frequency domain reflection (OFDR) systems. In this method, the nonlinear phase of OFDR systems is represented by the polynomial phase function, and then the coefficients of the polynomial phase function are estimated by PRA. Finally, the nonlinearity is compensated by match Fourier transform (MFT). Simulation results demonstrate that the proposed algorithm has good performance in compensating both weak and strong nonlinear phase noises of OFDR systems.
引用
收藏
页码:108 / 111
页数:4
相关论文
共 50 条
  • [41] Thermal Error Compensation Method Based on Floyd Algorithm
    Cheng, Qiang
    Sun, Bing-Wei
    Liu, Zhi-Feng
    Li, Wei-Shuo
    Li, Guang-Peng
    Gu, Pei-Hua
    2016 INTERNATIONAL CONFERENCE ON MECHANICS DESIGN, MANUFACTURING AND AUTOMATION (MDM 2016), 2016, : 662 - 671
  • [42] Database Management Method Based on Strength of Nonlinearity for Locally Weighted Linear Regression
    Kim, Sanghong
    Mishima, Kazuki
    Kano, Manabu
    Hasebe, Shinji
    JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 2019, 52 (06) : 554 - 561
  • [43] A flexible multiplexing method of FBG sensors based on OFDR
    Yang, Ning
    Zhang, Jiande
    Yu, Lijia
    Zheng, Peng
    Zhao, Bo
    Sun, Hualiang
    Liu, Qiang
    OPTIK, 2022, 267
  • [44] ANALYSIS OF NONLINEARITY VIA LINEAR-REGRESSION WITH POLYNOMIAL AND PRODUCT VARIABLES - EXAMINATION
    SOCKLOFF, AL
    REVIEW OF EDUCATIONAL RESEARCH, 1976, 46 (02) : 267 - 291
  • [45] Experimental demonstration of low complexity nonlinear compensation algorithm based on logistic regression
    Wang, Chuxuan
    Tian, Feng
    Zhang, Qi
    Gao, Ran
    Wang, Yongjun
    Tian, Qinghua
    Wang, Xishuo
    Pan, Xiaolong
    Xin, Xiangjun
    MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, 2022, 64 (07) : 1154 - 1161
  • [46] An adaptive predistortion method based on orthogonal polynomial expansion for nonlinear distortion compensation
    Ohmori, Seiji
    Xu Guangsheng
    Muta, Osamu
    Akaiwa, Yoshihiko
    2007 IEEE 18TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOLS 1-9, 2007, : 3001 - 3005
  • [47] Self-Commissioning Algorithm for Matrix Converter Nonlinearity Compensation
    Yousefi-Talouki, Arzhang
    Pellegrino, Gianmario
    Mengoni, Michele
    Zarri, Luca
    2015 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2015, : 4077 - 4083
  • [48] Inverter Nonlinearity Compensation Method for SPMSM Drives Based on Accurate Voltage Error Calculation
    Long J.
    Yang M.
    Chen Y.
    Liu K.
    Zhang J.
    Zhang J.
    Xu D.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 42 (17): : 6425 - 6435
  • [49] Nonlinearity compensation method based on two-line voltage synthesis for matrix converter
    School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China
    Dianji yu Kongzhi Xuebao, 2008, 2 (164-168):
  • [50] Deep Neural Network-Based Algorithm Approximation via Multivariate Polynomial Regression
    Liu, Chunmiao
    Shi, Bowen
    Li, Chenglin
    Zou, Junni
    Chen, Yingqi
    Xiong, Hongkai
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,