Application of Levenberg-Marquardt algorithm in the Brillouin spectrum fitting

被引:19
|
作者
Zhang, Chuankai [1 ]
Yang, Yuanhong [1 ]
Li, Anqi [1 ]
机构
[1] Beijing Univ Aeronaut & Astronaut, Sch Instrumentat Sci & Optoelect Engn, Dept Measurement Control & Informat Technol, Beijing 100083, Peoples R China
关键词
spontaneous brillouin scatting; distributed temperature sensing; Voigt function; pseudo-Voigt function; Levenberg-Marquardt algorithm; nonlinear curve fitting;
D O I
10.1117/12.807646
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Brillouin distributed optical fiber sensing system based on spontaneous Brillouin scattering frequency shift measurement may measure temperature in the optical fiber, due to the dependence of spontaneous Brillouin scattering frequency shift on temperature. In this paper, nonlinear theoretical models of the Brillouin spectrum in the BOTDR temperature sensing system are analyzed. The model parameters are optimized with Levenberg-Marquardt algorithm. By numerical calculation, it is indicated that pseudo-Voigt function can approach approximated the Voigt profile well and quickly.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Distributed localization using Levenberg-Marquardt algorithm
    Ahmadi, Shervin Parvini
    Hansson, Anders
    Pakazad, Sina Khoshfetrat
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2021, 2021 (01)
  • [22] VECTOR FITTING VS. LEVENBERG-MARQUARDT: SOME EXPERIMENTS
    Knockaert, Luc
    Ferranti, Francesco
    Dhaene, Tom
    2009 IEEE WORKSHOP ON SIGNAL PROPAGATION ON INTERCONNECTS, 2009, : 93 - 96
  • [23] The Application of Levenberg-Marquardt Algorithm in Multi-beam Sounding Data
    Ma, Kai
    Xu, Weiming
    Xu, Jian
    PROCEEDINGS OF 2017 IEEE 2ND INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2017, : 1710 - 1714
  • [24] The Optimization Study of FBG Gaussian fitting Peak-detection Based on Levenberg-Marquardt Algorithm
    Song, Furong
    Wei, Juntao
    Jiang, Mingshun
    Zhang, Lei
    Zhang, Faye
    Sui, Qingmei
    Tian, Yuan
    Sun, Wei
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 3723 - 3727
  • [25] Improvement of magnetometer calibration using Levenberg-Marquardt algorithm
    Pang, Hongfeng
    Chen, Dixiang
    Pan, Mengchun
    Luo, Shitu
    Zhang, Qi
    Li, Ji
    Luo, Feilu
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2014, 9 (03) : 324 - 328
  • [26] Parallel and separable recursive Levenberg-Marquardt training algorithm
    Asirvadam, VS
    McLoone, SF
    Irwin, GW
    NEURAL NETWORKS FOR SIGNAL PROCESSING XII, PROCEEDINGS, 2002, : 129 - 138
  • [27] LMA: A generic and efficient implementation of the Levenberg-Marquardt Algorithm
    Ramadasan, Datta
    Chevaldonne, Marc
    Chateau, Thierry
    SOFTWARE-PRACTICE & EXPERIENCE, 2017, 47 (11): : 1707 - 1727
  • [28] Distributed model calibration using Levenberg-Marquardt algorithm
    Lu, Mark
    Zhu, Liang
    Ling, Li
    Zhangb, Gary
    Chan, Walter
    Zhou, Xin
    OPTICAL MICROLITHOGRAPHY XX, PTS 1-3, 2007, 6520
  • [29] Application of the Neural Network in Diagnosis of Breast Cancer Based on Levenberg-Marquardt Algorithm
    Min, Zeng
    Xiao, Liang
    Cao, Lin
    Yan, Hangcheng
    2017 INTERNATIONAL CONFERENCE ON SECURITY, PATTERN ANALYSIS, AND CYBERNETICS (SPAC), 2017, : 268 - 272
  • [30] Levenberg-Marquardt Iterative Algorithm for Hammerstein Nonlinear Systems
    Zhou, Lincheng
    Li, Xiangli
    Xu, Huigang
    Zhu, Peiyi
    FOURTH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (CCAIS 2015), 2015, : 280 - 284