Laser & Optoelectronics Progress, Volume. 58, Issue 7, 0706002(2021)
Fiber Bragg Grating Spectrum Peak-Detection Algorithm Based on Difference of Gaussian
To minimize demodulation error and system instability due to the Guassian white noise and power frequency noise, we presented a fiber Bragg grating (FBG) peak-detection algorithm based on difference of Gaussian (DoG). This algorithm enabled the detection of the peak wavelength of FBG reflection spectrum with strong noise. The mean error and standard deviation are 4 pm and 4.2 pm, respectively, which are much lower than those of other traditional algorithms. Experimental results show that the DoG algorithm can provide good stability and low demodulation error. In addition, it can substantially resist the noise in the FBG reflection spectrum, thereby improving the accuracy of the FBG demodulation system.
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Yanzhang Lin, Yi Liu, Yuheng Pan, Guoyan Li. Fiber Bragg Grating Spectrum Peak-Detection Algorithm Based on Difference of Gaussian[J]. Laser & Optoelectronics Progress, 2021, 58(7): 0706002
Category: Fiber Optics and Optical Communications
Received: Jul. 6, 2020
Accepted: Sep. 3, 2020
Published Online: Apr. 25, 2021
The Author Email: Pan Yuheng (yuheng0616@sina.com)