基于高斯差分的光纤布拉格光栅反射谱峰值检测算法研究

Fiber Bragg Grating Spectrum Peak-Detection Algorithm Based on Difference of Gaussian

针对光纤Bragg光栅(FBG)解调系统中FBG反射谱因包含高斯白噪声、工频噪声而导致解调误差大、解调系统稳定性差的问题,提出一种基于高斯差分(DoG)的FBG峰值检测算法。利用该算法对包含大量噪声的FBG反射谱信号进行峰值检测,平均误差为4 pm,标准差为4.2 pm,相比其他传统算法误差最小。实验结果表明,DoG算法稳定性高,解调误差小,能够明显地降低噪声对FBG反射谱的影响,提高了FBG解调系统的解调精度。

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.