Acta Photonica Sinica, Volume. 50, Issue 9, 0906001(2021)

Fiber Bragg Grating Demodulation Method Based on Improved Manta Ray Foraging Optimization Algorithm

Qiufeng SHANG1,2,3 and Genbei YANG1、*
Author Affiliations
  • 1Department of Electronic and Communication Engineering, North China Electric Power University,Baoding, Hebei07003, China
  • 2Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding, Hebei071003, China
  • 3Baoding Key Laboratory of Optical Fiber Sensing and Optical Communication Technology,North China Electric Power University, Baoding, Hebei07100, China
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    When the fiber Bragg grating is multiplexing, the limited source bandwidth may cause spectral overlap, then affects the accuracy of demodulation. A new type of fiber Bragg grating overlapping spectrum demodulation method is proposed. This method is based on an improved manta ray foraging optimization algorithm.The Tent chaotic map is used to optimize the initial population, and the differential evolution algorithm is used to optimize the individual location update strategy, which solves the problem that the manta ray foraging optimization algorithm is easy to fall into the local optimum. The simulation and experimental results of multiple fiber Bragg gratings overlapping spectrum show that the proposed method can accurately demodulate the center wavelength of the overlapping spectrum, even in the case of spectral distortion, the maximum error does not exceed 0.01 nm; at the same time, it effectively reduces the probability of fall into local optimum,and improves the stability and reliability of the algorithm.

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    Qiufeng SHANG, Genbei YANG. Fiber Bragg Grating Demodulation Method Based on Improved Manta Ray Foraging Optimization Algorithm[J]. Acta Photonica Sinica, 2021, 50(9): 0906001

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Mar. 8, 2021

    Accepted: May. 11, 2021

    Published Online: Oct. 22, 2021

    The Author Email: YANG Genbei (344435529@qq.com)

    DOI:10.3788/gzxb20215009.0906001

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