The Optimization Study of FBG Gaussian fitting Peak-detection Based on Levenberg-Marquardt Algorithm

被引：0
作者：
Song, Furong [1 ]
Wei, Juntao [1 ]
Jiang, Mingshun [1 ]
Zhang, Lei [1 ]
Zhang, Faye [1 ]
Sui, Qingmei [1 ]
Tian, Yuan [1 ]
Sun, Wei [2 ]
机构：
[1] Shandong Univ, Sch Control Sci & Engn, Jinan, Shandong, Peoples R China
[2] China Acad Space Technol, Inst Spacecraft Syst Engn, Beijing, Peoples R China
来源：
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
基金：
中国国家自然科学基金;
关键词：
FBG; Peak-search Algorithm; Gaussian Fitting Algorithm; Levenberg-Marquardt Algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to find a more accurate and stable peak-detection algorithm of FBG, a method of solving the peak position by Gaussian Fitting Algorithm based on Levenberg-Marquardt Algorithm (LM) was studied. In this paper, the principles of Gaussian fitting and Levenberg-Marquardt algorithm are described, and their calculation steps in peak searching algorithm are given. The MOI's SM125 sensor demodulator is used to get full-spectrum data under different temperatures. We analyzed the influence of optical power threshold on peak finding accuracy, and got the optimal threshold. The full spectrum data intercepted by the optimal threshold is used to search peaks, and we compared result with the wavelength got by SM125. The fitting error line graph at different temperatures is drawn, and the algorithm's average fitting error is 1.33pm. The results showed that Gaussian-LM algorithm has the advantages of high accuracy, good stability, which is important to improve the demodulation accuracy.
引用
收藏
页码：3723 / 3727
页数：5
相关论文
共 50 条
  • [31] A state space synchronous machine model with multifunctional characterization of saturation using Levenberg-Marquardt optimization algorithm
    Hamidifar, Saeedeh
    Kar, Narayan C.
    ELECTRIC POWER SYSTEMS RESEARCH, 2013, 102 : 33 - 41
  • [32] Solving CNLS problems using Levenberg-Marquardt algorithm: A new fitting strategy combining limits and a symbolic Jacobian matrix
    Zic, Mark
    Subotic, Vanja
    Pereverzyev, Sergei
    Fajfar, Iztok
    JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 2020, 866
  • [33] The data filtering based multiple-stage Levenberg-Marquardt algorithm for Hammerstein nonlinear systems
    Ji, Yan
    Kang, Zhen
    Liu, Ximei
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (15) : 7007 - 7025
  • [34] Research on Evaluation of Enterprise Performance Based on BP Neural Network Improved by Levenberg-Marquardt Algorithm
    Du, Wanyin
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING, 2015, 124 : 167 - 171
  • [35] Parameter Extraction for Energetic Hysteresis Model Based on the Hybrid Algorithm of Simulated Annealing and Levenberg-Marquardt
    Liu R.
    Li L.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2019, 39 (03): : 875 - 884
  • [36] Efficient, Accurate and Scalable Reflectarray Phase-Only Synthesis Based on the Levenberg-Marquardt Algorithm
    Prado, Daniel R.
    Alvarez, Jana
    Arrebola, Manuel
    Pino, Marcos R.
    Ayestaran, Rafael G.
    Las-Heras, Fernando
    APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL, 2015, 30 (12): : 1246 - 1255
  • [37] Inverse estimation of parameters for heat generation due to degradation in landfills based on the Levenberg-Marquardt algorithm
    Wu Xun
    Shi Jian-yong
    Zhang Tao
    Shu Shi
    Li Yu-pin
    Lei Hao
    ROCK AND SOIL MECHANICS, 2022, 43 (02) : 511 - 518
  • [38] A real-time tracking method for the rectangular magnet based on parallel Levenberg-Marquardt algorithm
    Yang, Wan'an
    Li, Yan
    Hu, Chao
    Song, Shuang
    INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2011, 37 (04) : 241 - 251
  • [39] Photovoltaic Power Forecasting Using Cascade Forward Neural Network Based On Levenberg-Marquardt Algorithm
    Mahmudah, Norma
    Priyadi, Ardyono
    Budi, Avian Lukman Setya
    Putri, Vita Lystianingrum Budiharto
    2021 IEEE INTERNATIONAL CONFERENCE IN POWER ENGINEERING APPLICATION (ICPEA 2021), 2021, : 115 - 120
  • [40] Model in Frequency-Domain Identification of a Fast Steering Mirror System Based on Levenberg-Marquardt Algorithm
    Chen Peng
    Liang Yanbing
    2017 2ND INTERNATIONAL CONFERENCE ON CYBERNETICS, ROBOTICS AND CONTROL (CRC 2017), 2017, : 199 - 202
12345