Comparative Analysis of the Methods for Fiber Bragg Structures Spectrum Modeling

被引:9
|
作者
Agliullin, Timur [1 ]
Anfinogentov, Vladimir [1 ]
Morozov, Oleg [1 ]
Sakhabutdinov, Airat [1 ]
Valeev, Bulat [1 ]
Niyazgulyeva, Ayna [2 ]
Garovov, Yagmyrguly [2 ]
机构
[1] Kazan Natl Res Tech Univ AN Tupolev KAI, Dept Radiophoton & Microwave Technol, 10 K Marx St, Kazan 420111, Russia
[2] Inst Telecommun & Informat Turkmenistan, Dept Radio Commun & Radio Technol Syst, 68 Magtymguly St, Ashkhabad 744000, Turkmenistan
关键词
fiber Bragg grating; phase-shifted fiber Bragg grating; fiber-optic sensor; transfer matrix method; SENSOR;
D O I
10.3390/a16020101
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The work is dedicated to a comparative analysis of the following methods for fiber Bragg grating (FBG) spectral response modeling. The Layer Sweep (LS) method, which is similar to the common layer peeling algorithm, is based on the reflectance and transmittance determination for the plane waves propagating through layered structures, which results in the solution of a system of linear equations for the transmittance and reflectance of each layer using the sweep method. Another considered method is based on the determination of transfer matrices (TM) for the FBG as a whole. Firstly, a homogeneous FBG was modeled using both methods, and the resulting reflectance spectra were compared to the one obtained via a specialized commercial software package. Secondly, modeling results of a pi-phase-shifted FBG were presented and discussed. For both FBG models, the influence of the partition interval of the LS method on the simulated spectrum was studied. Based on the analysis of the simulation data, additional required modeling conditions for phase-shifted FBGs were established, which enhanced the modeling performance of the LS method.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Interrogation methods for fiber Bragg grating sensors
    Leiderman, R
    Matos, CJS
    Braga, AMB
    Margulis, W
    Valente, LCG
    SELECTED PAPERS FROM PHOTONICS INDIA '98, 1999, 3666 : 554 - 560
  • [22] Simulation and Modeling of Fiber Bragg Grating Sensors
    Prasad, Krishna S. J.
    Talasila, Viswanath
    Kumar, Mohana S.
    2020 5TH IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS ON ELECTRONICS, INFORMATION, COMMUNICATION & TECHNOLOGY (RTEICT-2020), 2020, : 343 - 352
  • [23] Tunable Fiber Bragg gratings modeling and simulation
    Mahmoud, A
    Ghassemlooy, Z
    36TH ANNUAL SIMULATION SYMPOSIUM, PROCEEDINGS, 2003, : 305 - 308
  • [24] CHEMISTRY AND COMPARATIVE ANALYSIS OF CRUDE FIBER ASSAY METHODS
    LINDNER, MW
    CHEMIKER-ZEITUNG, 1969, 93 (23): : 919 - &
  • [25] Modeling and Analysis of a Combined Stress-Vibration Fiber Bragg Grating Sensor
    Yao, Kun
    Lin, Qijing
    Jiang, Zhuangde
    Zhao, Na
    Tian, Bian
    Shi, Peng
    Peng, Gang-Ding
    SENSORS, 2018, 18 (03):
  • [26] The strain analysis of the stretcher's substrate for chirp tuning of the fiber Bragg grating spectrum
    Yu, ZY
    Liu, YM
    Yang, HB
    ICCC2004: Proceedings of the 16th International Conference on Computer Communication Vol 1and 2, 2004, : 1320 - 1323
  • [27] Distributed strain measurement based on a fiber Bragg grating and its reflection spectrum analysis
    LeBlanc, M
    Huang, SY
    Ohn, M
    Measures, RM
    Guemes, A
    Othonos, A
    OPTICS LETTERS, 1996, 21 (17) : 1405 - 1407
  • [28] Effect of metalizing nickel on the spectrum of fiber Bragg grating
    Rao, Chunfang
    Zhang, Hua
    Feng, Yan
    Xiao, Lili
    Ye, Zhiqing
    OPTICAL ENGINEERING, 2013, 52 (05)
  • [29] Evaluation of optical spectrum of concatenated Fiber Bragg Grating
    Suzaki, Yoshifumi
    Imatake, Fuminori
    Sawamura, Yohei
    Okada, Keita
    Okada, Noriaki
    Iwata, Hiromu
    Yokouchi, Takashi
    Ejima, Seiki
    Zairyo/Journal of the Society of Materials Science, Japan, 2009, 58 (09) : 735 - 740
  • [30] Modeling of Bend Effects on Fiber Bragg Gratings
    Cadusch, Peter J.
    Thompson, Alexander C.
    Stoddart, Paul R.
    Wade, Scott A.
    THIRD ASIA PACIFIC OPTICAL SENSORS CONFERENCE, 2012, 8351