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  • 标题:Research on Peak-detection Algorithm for High-precision Demodulation System of Fiber Bragg Grating
  • 本地全文:下载
  • 作者:Peng Wang ; Xu Han ; Simin Guan
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2014
  • 卷号:7
  • 期号:6
  • 页码:337-344
  • DOI:10.14257/ijhit.2014.7.6.29
  • 出版社:SERSC
  • 摘要:In order to improve the detection accuracy of wavelength, the filtering and curve fitting technologies were applied in the FBG wavelength demodulation system based on tunable F-P filter. These methods could realize the accurate peak-location of output signals of the photo detector. According to the characteristics of noise, the FIR low-pass filter was designed to filter the obtained light power signals so as to provide the input signals with high SNR for the peak-detection algorithms. By analyzing and comparing several typical peak-searching algorithms, the algorithm of Gauss formula nonlinear curve fitting (L-M) was chosen to fit the digitized light power signals. The experimental results show that L-M fitting algorithm reduces the mean square error by 7.5% compared with the Gauss fitting algorithm. For the Gauss signal in the wavelength demodulation system designed in the paper, the L-M algorithm has lower mean square error than other peak-searching algorithms. This algorithm is suitable for FBG wavelength demodulation system based on tunable F-P filter. It can efficiently raise the accuracy of wavelength demodulation system.
  • 关键词:fiber Bragg grating; tunable Fabry-Perot filter; peak-detection algorithm; ; Levenberg-Marquardt algorithm
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