多峰F-P干涉传感信号光谱的波长寻峰算法研究

Study of multi-peaks F-P interference sensing signal spectrum wavelength peak seeking algorithm

针对传统光纤布拉格光栅(FBG)传感信号光谱寻峰算法不能适用于多峰法布里-珀罗(F-P)干涉传感信号光谱寻峰的问题,提出了多峰F-P干涉传感信号光谱的波长寻峰算法。采用4特征值法进行传感信号采集,采用五点滑动均值滤波法进行信号处理,采用分步迭代的高斯拟合法进行多峰曲线拟合和峰值波长区域分割,采用峰值校正法进行峰值波长检测。通过算法对比测试得到直接寻峰算法平均寻峰误差为12. 1 pm,蒙特卡洛寻峰算法平均寻峰误差为5. 2 pm,高斯拟合寻峰算法平均寻峰误差为4. 1 pm,多峰寻峰算法的平均寻峰误差为1. 9 pm,结果表明:多峰寻峰算法误差最低,寻峰效果更好。

Aiming at the problem that traditional fiber Bragg grating( FBG) sensing signal spectrum peak seeking algorithm can not be applied to multi-peaks Fabry-Pérot( F-P) interference sensing signal spectrum peak seeking,a multi-peaks F-P interference sensing signal spectrum wavelength peak seeking algorithm is proposed;a four eigenvalue method is used to collect sensing signal spectrum;a five-point sliding mean filtering method is used for signal spectrum processing;multi-peaks curve fitting and peak wavelength area segmentation are carried out by stepwise iterative Gauss fitting method;peak correction method is carried out to detect the peak wavelength. Through algorithm comparison test,average peak seeking error of direct peak seeking algorithm is 12. 1 pm,average peak seeking error of Monte Carlo peak seeking algorithm is 5. 2 pm,the average peak seeking error of Gaussian fitting peak seeking algorithm is 4. 1 pm,and the average peak seeking error of multi-peaks seeking algorithm is 1. 9 pm,the results show that the multi-peaks seeking algorithm has the lowest error and better effect of peak seeking.