Abstract:Due to the bandwidth of the light source,with the excessive use of the fiber Bragg grating (FBG) sensor the range of spectral overlap will occur.It is difficult to identify the center wavelength of the reflection spectrum.In order to solve the problem of spectral overlap,constructing overlapping spectra by utilizing spectral shape multiplexing techniques,according to the characteristics of genetic algorithm and particle swarm optimization,a hybrid genetic particle swarm optimization algorithm is formed,which can improve the convergence speed and accuracy of the original algorithm and apply it to solving the problem of spectral overlap.The simulation results show that when the reflection spectrum of FBG sensor overlaps,the hybrid genetic particle swarm optimization algorithm can recognize the central wavelength of overlap spectrum,with the recognition error ±5 pm.This method provides a feasible solution to limit the number of FBG sensors due to the bandwidth of the light source.