HU Chen, TAO Qing, ZHOU Zhou, et al. Study of multi-peaks F-P interference sensing signal spectrum wavelength peak seeking algorithm[J]. 2020, (6): 30-32+36.
HU Chen, TAO Qing, ZHOU Zhou, et al. Study of multi-peaks F-P interference sensing signal spectrum wavelength peak seeking algorithm[J]. 2020, (6): 30-32+36. DOI: 10.13873/J.1000-9787(2020)06-0030-03.
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.